{"package": "evalml", "summary": "an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions", "pypi_url": "https://pypi.org/project/evalml", "piwheels_url": "https://www.piwheels.org/project/evalml", "releases": {"0.84.0": {"released": "2024-06-06 17:44:34", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.84.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.84.0-py3-none-any.whl", "filehash": "64acce38efa4e6a95299d0f7c19cd2a738a76b3d9d937321a398662918ac1035", "filesize": 6576524, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.9", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "woodwork", "xgboost"]}}}, "0.83.0": {"released": "2024-02-02 20:58:17", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.83.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.83.0-py3-none-any.whl", "filehash": "dc1c80bc581a23581bf5baf7d8bdb687f183a949789e6b133dcab757b5efcc0a", "filesize": 6581626, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.82.0": {"released": "2023-11-03 17:29:50", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.82.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.82.0-py3-none-any.whl", "filehash": "cc7d0884e2b88beacd1ea09903777c54d9c3aad506b6cc053a14e9e6107d211c", "filesize": 6580366, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.81.1": {"released": "2023-10-16 18:59:33", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.81.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.81.1-py3-none-any.whl", "filehash": "f382e8f5fd34016b53e0a3eb106dafab1bc3909f026b59187eb5332d10ea89c4", "filesize": 6579594, "builder_abi": "cp311", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.80.0": {"released": "2023-08-31 19:08:11", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.80.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.80.0-py3-none-any.whl", "filehash": "2a1d459e07666e87e51b2e052b924827f07b526ef649692d0d3fe94e89886211", "filesize": 6567871, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.79.0": {"released": "2023-08-14 17:46:38", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.79.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.79.0-py3-none-any.whl", "filehash": "ffa029a6e198117f8565654e930e99e4a13ec5ecf94e06833fe03ccbfd186475", "filesize": 6563069, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.78.0": {"released": "2023-07-11 15:58:38", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.78.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.78.0-py3-none-any.whl", "filehash": "b8426e78d0bc01f8a56ab371238b44b80eb503823109bf982ec08cb5e54c6246", "filesize": 6546845, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.77.0": {"released": "2023-06-08 13:55:37", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.77.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.77.0-py3-none-any.whl", "filehash": "faa992dc61152675071bdd1f8209c87093a293f3f841499e8b97d37507802935", "filesize": 6546181, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.76.0": {"released": "2023-05-10 14:57:23", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.76.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.76.0-py3-none-any.whl", "filehash": "0f79774a52934f013c0713a0e7e6b4e987fdfe38fa832556a375a3ff69929959", "filesize": 6543105, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.75.0": {"released": "2023-05-02 17:21:06", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.75.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.75.0-py3-none-any.whl", "filehash": "c1aa23a5e1520abf71ad11b2870218115c69451da5cb095489a2ea12741def68", "filesize": 6537699, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "distributed", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.74.0": {"released": "2023-04-19 16:25:07", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.74.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.74.0-py3-none-any.whl", "filehash": "e3863eb0a3e4c4b360731f489f6639432a2573cc3a976ed59c7dff6512357a7a", "filesize": 6537167, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.73.0": {"released": "2023-04-11 21:23:31", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.73.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.73.0-py3-none-any.whl", "filehash": "881f5291421f042330cd257da21b1fbbf3778833c32dc71d792ef58169ac2f68", "filesize": 6537036, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.72.0": {"released": "2023-03-27 19:05:28", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.72.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.72.0-py3-none-any.whl", "filehash": "912f77b717b39c589109103f597aa25bad5b6c4730ee36250aece4a905f1153b", "filesize": 6533674, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.71.0": {"released": "2023-03-18 23:40:44", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.71.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.71.0-py3-none-any.whl", "filehash": "05886542a8c2d197a9d2bf194b0c670840a162cf254cb8bf0c350bdc64a5962e", "filesize": 6531405, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.70.0": {"released": "2023-03-17 03:34:23", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.70.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.70.0-py3-none-any.whl", "filehash": "dcd1062f8ab7c3451381dd349908f854da6c465ab4ef6ad7efe1efc0e99a1ab2", "filesize": 6531299, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.69.0": {"released": "2023-03-15 22:33:20", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.69.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.69.0-py3-none-any.whl", "filehash": "4173b6a294b224fb66c24a4dda267127bd5d2ef3fefdd02818129315060f2a20", "filesize": 6531225, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["black", "catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "holidays", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.68.0": {"released": "2023-02-16 21:16:51", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.68.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.68.0-py3-none-any.whl", "filehash": "2c363fd8697f0f4702017655a5605c9d849265153d54e6413a7ccdc6a43ca78a", "filesize": 6350225, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "packaging", "pandas", "plotly", "pmdarima", "pyzmq", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.67.0": {"released": "2023-02-02 15:48:06", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.67.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.67.0-py3-none-any.whl", "filehash": "8f52c2080c46ffd2984e3605e22e0509bd86ac125db2da45e891b5e797d15fc6", "filesize": 3507215, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.66.1": {"released": "2023-01-27 00:13:17", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.66.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.66.1-py3-none-any.whl", "filehash": "b64b424196f0a22bca3801fab91d3c6d5ac6a6a0f812910e6efcd9e0e9dbb95d", "filesize": 811046, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.66.0": {"released": "2023-01-25 19:57:10", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.66.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.66.0-py3-none-any.whl", "filehash": "4b1365e18e407942511c900389a472991f0846922707eb55a87c6e3b69e7ac5a", "filesize": 810361, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "tomli", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.65.0": {"released": "2023-01-12 15:09:00", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.65.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.65.0-py3-none-any.whl", "filehash": "000cb93c1d96fcae2656d314bd3930510d8a75ff9877305186a681ba75e9b564", "filesize": 6532666, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.64.0": {"released": "2022-12-09 19:22:41", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.64.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.64.0-py3-none-any.whl", "filehash": "1c3cf87a3ff1f60cf5929cb41e4c6a42eacd3a7b1d84c7b35c9a5a5ade420c16", "filesize": 6523745, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.63.0": {"released": "2022-11-30 00:16:26", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.63.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.63.0-py3-none-any.whl", "filehash": "55d29cc8afbb06d4783eefb50df7635364e10504cbea5ce3823368434b37ed14", "filesize": 6522497, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.62.0": {"released": "2022-11-02 03:31:29", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.62.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.62.0-py3-none-any.whl", "filehash": "6c2d443a306cce528d3d8101d65038a77219950d4f40e262b05cdca0ad89e6bc", "filesize": 6514094, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.61.1": {"released": "2022-10-27 08:02:07", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.61.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.61.1-py3-none-any.whl", "filehash": "9cbcbbfc371a9effff1dd33d5fbda76c728f5d2d5761cf390746a729f6490540", "filesize": 6514068, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.61.0": {"released": "2022-10-27 02:04:57", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.61.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.61.0-py3-none-any.whl", "filehash": "9a7d9cc368021fa1aa0ad4fe777a13e7731189ee1f2b378eb3c9f1b9964b26b3", "filesize": 6513947, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.60.0": {"released": "2022-10-20 18:13:03", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.60.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.60.0-py3-none-any.whl", "filehash": "d2a87c0d4a4f3f61ca0e41edabe8543eadc65dff27b5155a7389a7ec8eaacf0f", "filesize": 6501308, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.59.0": {"released": "2022-09-28 02:20:47", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.59.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.59.0-py3-none-any.whl", "filehash": "7c9e38692b2dfe4b6ec2cfdd311b23b6190e1968540a5a2583dfb8dbb7be9395", "filesize": 6490507, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.58.0": {"released": "2022-09-20 21:33:00", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.58.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.58.0-py3-none-any.whl", "filehash": "f6dfdc211574133a003c4c050db92008b170c6a6d39e96fe7a0865e6ad7d01a6", "filesize": 6487353, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.57.0": {"released": "2022-09-06 19:18:40", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.57.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.57.0-py3-none-any.whl", "filehash": "07f3017207b056ad99ceb1e589ed6ab4826e42b8957fb7efb2503dce62b46750", "filesize": 6475580, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.56.1": {"released": "2022-08-19 16:48:54", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.56.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.56.1-py3-none-any.whl", "filehash": "30a831f163d9334137af517110bd949b48a1d46527c7d7f9b4df6ed6f77f8343", "filesize": 6470411, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.56.0": {"released": "2022-08-16 05:18:54", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.56.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.56.0-py3-none-any.whl", "filehash": "0e41ddf42c0b611d312a5b113c98b3916c3dfa96282b01e0a07cef10c1e0dbf9", "filesize": 6470026, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.55.0": {"released": "2022-07-28 15:40:16", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.55.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.55.0-py3-none-any.whl", "filehash": "426c7f110f95132e15d20ad5860aad319549c544cc0294da7b76d2ea075ef0f6", "filesize": 6460960, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.54.0": {"released": "2022-06-27 17:13:35", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.54.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.54.0-py3-none-any.whl", "filehash": "eeef5faa7c2aad58ff878001c2ed85ebefb0149c7e224653ac87727a8b815b96", "filesize": 6456787, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.53.1": {"released": "2022-06-09 20:46:07", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.53.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.53.1-py3-none-any.whl", "filehash": "a761c3d973951d91c4ddeb8742e68fac41c15ba1f98b3a2d5278807a951db121", "filesize": 6451909, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": "<4,>=3.8", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.52.0": {"released": "2022-05-12 20:12:24", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.52.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.52.0-py3-none-any.whl", "filehash": "1bbc528f7bbfa7434bca6cd1c7c7691a5cdb0e62708db0820761aea143ce7e15", "filesize": 6455155, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.51.0": {"released": "2022-04-29 15:35:23", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.51.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.51.0-py3-none-any.whl", "filehash": "21f670132a5a70b6adfdcc9df32d68cb6cbc5892fe0855bc4bf5cdb5ce395310", "filesize": 6453972, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.50.0": {"released": "2022-04-13 15:40:21", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.50.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.50.0-py3-none-any.whl", "filehash": "cc541942648890cb599a4000bba4be6cfbb32e3093b4396d2854641be44872c4", "filesize": 6451417, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.49.0": {"released": "2022-04-01 01:09:59", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.49.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.49.0-py3-none-any.whl", "filehash": "6a034c81a5b4f767ee5d8d156e204109ef8770a77362b60557edcdc94ce51feb", "filesize": 6438143, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.48.0": {"released": "2022-03-28 23:28:13", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.48.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.48.0-py3-none-any.whl", "filehash": "afc0b761046e4f97a3a18cd847066d6a4d058694fe902fae519823ed4731ae2d", "filesize": 6434790, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.47.0": {"released": "2022-03-17 20:56:32", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.47.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.47.0-py3-none-any.whl", "filehash": "048a20c88c2ffcbd1b8b4e3a79aa2ba356e6e0ed8d5205bc47f961dacc5e3a98", "filesize": 6430126, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.46.0": {"released": "2022-03-03 19:02:42", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.46.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.46.0-py3-none-any.whl", "filehash": "f12795dc54f9a9c9278600ab732623b0fe006cb008b90d4469c87138690110f6", "filesize": 6426619, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.45.0": {"released": "2022-02-18 21:13:48", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.45.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.45.0-py3-none-any.whl", "filehash": "65ede3fc2797fe1039dfeb56e4f65e614b7ef7c5dfc37b2069cc0334fbd648bd", "filesize": 6426116, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.44.0": {"released": "2022-02-04 19:31:06", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.44.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.44.0-py3-none-any.whl", "filehash": "73f85a34c1970cc33143f9c13d14ca79bab570c97cf9db5e250a852e14e67536", "filesize": 6417132, "builder_abi": "cp39", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.8, <4", "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.43.0": {"released": "2022-01-25 19:31:52", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.43.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.43.0-py3-none-any.whl", "filehash": "5eb5379a26fe88cc96ce4b8723432378dd85ee1eeb97bc4268f68f318f66e5bb", "filesize": 6420624, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.42.0": {"released": "2022-01-20 17:02:08", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.42.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.42.0-py3-none-any.whl", "filehash": "0f8fdb006931ac11bc46eb28a96a0770bb96ac220ffd384e5aa7bda0920cd574", "filesize": 6417526, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.41.0": {"released": "2022-01-10 16:55:48", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.41.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.41.0-py3-none-any.whl", "filehash": "6c2f787b9475911a948392b70541a6e8eba723f0a84e3147ddb6f92d322fbe5e", "filesize": 6414146, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.40.0": {"released": "2021-12-22 23:31:21", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.40.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.40.0-py3-none-any.whl", "filehash": "f4aa874fd1585d874a7241692e6b6bceae33d21727df70ba0d94ef94333955b6", "filesize": 6405020, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.39.0": {"released": "2021-12-09 18:08:16", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.39.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.39.0-py3-none-any.whl", "filehash": "2da6e52c5c9f1385acae475e36680866a216853436e6272f5b4d4e53f381bf77", "filesize": 6393685, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.38.0": {"released": "2021-11-29 19:37:13", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.38.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.38.0-py3-none-any.whl", "filehash": "ce7fb3c89a171683828ccf36a73ae63bb2c807f7f8fc665dc587ad1c498f439a", "filesize": 6387311, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.37.0": {"released": "2021-11-10 17:31:31", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.37.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.37.0-py3-none-any.whl", "filehash": "d00b2aa9d07effa31f5e9b4d0f009a034ea11ddb0a9b5865fe4fe4269d130dd3", "filesize": 6381433, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.36.0": {"released": "2021-10-27 22:15:03", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.36.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.36.0-py3-none-any.whl", "filehash": "73894a7183117f0ede6bbd41508af87167b86affc1d01c929045adfdffc15d92", "filesize": 6355310, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "lime", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "vowpalwabbit", "woodwork", "xgboost"]}}}, "0.35.0": {"released": "2021-10-15 02:33:57", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.35.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.35.0-py3-none-any.whl", "filehash": "3be8e44a32fa4b9d10daed28a3d47e1fffd61180c1df3cdbbd268a93524885dc", "filesize": 6341082, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.34.1rc1": {"released": "2021-10-01 19:24:07", "prerelease": true, "yanked": false, "skip_reason": "", "files": {"evalml-0.34.1rc1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.34.1rc1-py3-none-any.whl", "filehash": "be37820984324915ac8b70e0cf19fd61cff04b21fbd3967b1a98221d121f5352", "filesize": 6342894, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.34.0": {"released": "2021-10-01 16:46:43", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.34.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.34.0-py3-none-any.whl", "filehash": "e4ee5047b5bad13c6ac1b7d4d917e0e40980205a8853e3ae7ea56bf5cdcb0460", "filesize": 6342814, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.33.0": {"released": "2021-09-15 20:27:02", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.33.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.33.0-py3-none-any.whl", "filehash": "ffdc1cf787a487397578bef2e7f595bcfb3cf1f9ebd4a5721508ba8e7dc71f55", "filesize": 6327381, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.32.1": {"released": "2021-09-10 21:04:33", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.32.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.32.1-py3-none-any.whl", "filehash": "e10a6965b0b1df960ee0edcdbef8b1d2f3ddae7288e597c64793388ef79e02b0", "filesize": 6323331, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.32.0": {"released": "2021-09-02 00:43:44", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.32.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.32.0-py3-none-any.whl", "filehash": "d33b8a89f3a60726d1e5a8586734041c3b7b8fc974f2ff477ad0b33705e4983f", "filesize": 6290198, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numba", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.31.0": {"released": "2021-08-19 20:07:02", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.31.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.31.0-py3-none-any.whl", "filehash": "af7d3cb24563a7b4d2eed369694ee7746579091adfdc2eeb9ff0e383e8af8ac3", "filesize": 6282076, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.30.2": {"released": "2021-08-16 20:16:49", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.30.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.30.2-py3-none-any.whl", "filehash": "8c045cf6a0a8aab26c1a737554cab9c9b5c2f018a045502db0955c0c9885d4ff", "filesize": 6279175, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.30.0": {"released": "2021-08-04 22:13:29", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.30.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.30.0-py3-none-any.whl", "filehash": "c40d32fe21b5e15570485968d369606bd0e8fa26b5103772874066c8caac3de0", "filesize": 6271852, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.29.0": {"released": "2021-07-22 13:57:23", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.29.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.29.0-py3-none-any.whl", "filehash": "693573af01c9095ad627ab4a15ea57be84ad25f3e5918ef85bf1220010167a4e", "filesize": 6250639, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.28.0": {"released": "2021-07-02 22:15:11", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.28.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.28.0-py3-none-any.whl", "filehash": "d21bf537d8133fefdb3f69d5d8dc4ffd71eae72c7660e1863a40b1e19043c85b", "filesize": 6227681, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.27.0": {"released": "2021-06-23 14:35:58", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.27.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.27.0-py3-none-any.whl", "filehash": "6ae3a2eab441075d470c5a0210edaef79685a19ba97e4957961c0d5c51c8e6df", "filesize": 6221737, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.25.0": {"released": "2021-06-02 15:10:52", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.25.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.25.0-py3-none-any.whl", "filehash": "b14d815ed1edb8255ba1c90c246e226709359ec121664b90dff5f6864fb9c0d4", "filesize": 6195594, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.24.2": {"released": "2021-05-25 01:01:00", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.24.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.24.2-py3-none-any.whl", "filehash": "9e6c14d6934902033d02542e11a2c7ce4d4a7717384c9bfeaf7a769d422c12eb", "filesize": 6195050, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.24.1": {"released": "2021-05-17 15:59:59", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.24.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.24.1-py3-none-any.whl", "filehash": "1f7f0336c1c7943839adacdb02374c80c5f14c0473f01070be76ab872de2581e", "filesize": 6193711, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "markupsafe", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "pmdarima", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.24.0": {"released": "2021-05-05 15:15:57", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.24.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.24.0-py3-none-any.whl", "filehash": "77a8bb4ccb3dafc3e7e018c23bc862e07d15dac666ebab5389923f687ad57b58", "filesize": 6190274, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.23.0": {"released": "2021-04-21 04:23:48", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.23.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.23.0-py3-none-any.whl", "filehash": "72dd6d456d1f1a3715e55ae5008040533fad0d81d315175217a0e0f3da8ca1cc", "filesize": 6191062, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "dask", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.22.0": {"released": "2021-04-07 15:48:17", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.22.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.22.0-py3-none-any.whl", "filehash": "556d8aef9487ac5a11542e3ba34c42443d876b06866eb7e08ed262f94a1ea436", "filesize": 6179556, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.21.0": {"released": "2021-03-24 21:05:09", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.21.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.21.0-py3-none-any.whl", "filehash": "9cd34e91023f03bd50f963eec12af96e2a17882884c0b32a9817de7d86d108aa", "filesize": 6164208, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "imbalanced-learn", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "sktime", "statsmodels", "texttable", "woodwork", "xgboost"]}}}, "0.20.0": {"released": "2021-03-11 00:16:51", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.20.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.20.0-py3-none-any.whl", "filehash": "042d76e01ac5b491ce92733755654e89993ec030f0c79824022ab5d0223384b2", "filesize": 6151939, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.19.0": {"released": "2021-02-24 19:15:12", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.19.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.19.0-py3-none-any.whl", "filehash": "f0aa475f5af82534aed619f7d8f9f5fdf66de6b824ca90c08a78dc8c5b86e236", "filesize": 6135293, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.18.2": {"released": "2021-02-10 17:12:57", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.18.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.18.2-py3-none-any.whl", "filehash": "b2602be8c654e7bc0fd72729352f2056d94cb26bad98510920e458d8a1fc003a", "filesize": 6108477, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.18.1": {"released": "2021-02-02 01:20:50", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.18.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.18.1-py3-none-any.whl", "filehash": "34a50e4943bf6561a2046b670f85b050ac57737797697c24b0d0492bae3015ad", "filesize": 6095653, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "pyzmq", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.18.0": {"released": "2021-01-26 22:20:51", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.18.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.18.0-py3-none-any.whl", "filehash": "4624670709724d25b5f0e22a0add213ca25c62924f3895480f3e11e2af0e1439", "filesize": 6086026, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.17.0": {"released": "2020-12-30 00:37:24", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.17.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.17.0-py3-none-any.whl", "filehash": "599d20cc5c8f7c8642d1d8528093d110ae92df5d646a8e2736100117e882698a", "filesize": 6071921, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "kaleido", "lightgbm", "matplotlib", "networkx", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "seaborn", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.16.1": {"released": "2020-12-01 23:27:51", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.16.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.16.1-py3-none-any.whl", "filehash": "34dedc0e885a5a5063e43f7d7c4a88c4edd10e1f3fc90b1d3396f674f5bc9ff3", "filesize": 6022757, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "lightgbm", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.16.0": {"released": "2020-11-24 22:13:18", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.16.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.16.0-py3-none-any.whl", "filehash": "c2e9a449d7445ad846bc5f7ecefc8e0d542b08c8e72151dbcfea9b39da4f2bcc", "filesize": 6022168, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "category-encoders", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "lightgbm", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.15.0": {"released": "2020-10-29 23:00:29", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.15.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.15.0-py3-none-any.whl", "filehash": "83a4e8ef3a359864f71196917ca47c031018c62b16b598678fc53641fe82f940", "filesize": 5994817, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "featuretools", "graphviz", "ipywidgets", "lightgbm", "nlp-primitives", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "woodwork", "xgboost"]}}}, "0.14.1": {"released": "2020-09-29 20:45:09", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.14.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.14.1-py3-none-any.whl", "filehash": "574bcc837970f861961445da6ef47c654439d5cc5e0858b6d5e1769ab814f9ac", "filesize": 5968376, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": null, "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "ipywidgets", "lightgbm", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "xgboost"]}}}, "0.13.2": {"released": "2020-09-17 20:48:26", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.13.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.13.2-py3-none-any.whl", "filehash": "c39b661eb2e709452161405517f270375db7f80d2716e5fe185c9899c9fa202e", "filesize": 5959056, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "ipywidgets", "lightgbm", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "xgboost"]}}}, "0.13.1": {"released": "2020-08-25 21:07:11", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.13.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.13.1-py3-none-any.whl", "filehash": "31b637d82edf2782193b2f22867a396a1ff92716fcbcbfa3a7d7912dc6a0d178", "filesize": 5940177, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "ipywidgets", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "tqdm", "xgboost"]}}}, "0.12.2": {"released": "2020-08-06 19:50:51", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.12.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.12.2-py3-none-any.whl", "filehash": "f271b3021292b9a432a6a1edbca48867ec9c2169b68bdb59f50768604f68941f", "filesize": 5585610, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "ipywidgets", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "tqdm", "xgboost"]}}}, "0.12.0": {"released": "2020-08-03 18:59:22", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.12.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.12.0-py3-none-any.whl", "filehash": "3916b633d587ba49f15ce1a3b72c7f645a2fc96e2b2ca2129a25bedb54e99b63", "filesize": 5446868, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "ipywidgets", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "shap", "texttable", "tqdm", "xgboost"]}}}, "0.11.2": {"released": "2020-07-16 20:51:34", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.11.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.11.2-py3-none-any.whl", "filehash": "a466df25a8523e45b6e8a784760ffb5efd4a318372161ba1326e8ad5dee97ae1", "filesize": 5436343, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["catboost", "click", "cloudpickle", "colorama", "featuretools", "ipywidgets", "numpy", "pandas", "plotly", "psutil", "requirements-parser", "scikit-learn", "scikit-optimize", "scipy", "tqdm", "xgboost"]}}}, "0.0.1": {"released": "2020-07-02 21:34:19", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"evalml-0.0.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/evalml/evalml-0.0.1-py3-none-any.whl", "filehash": "2864bbc6ee55327c9f14788eaa88ebdbe005c5b5c4bb4c3d6beb4427b5544f95", "filesize": 1360, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6, <4", "apt_dependencies": [], "pip_dependencies": []}}}}}