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mute simpleimputer for now
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README.md

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@@ -99,7 +99,7 @@ X_train, X_test, y_train, y_test = train_test_split(dataset, label, stratify=lab
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primitives = [
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'mlprimitives.custom.preprocessing.ClassEncoder',
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'mlprimitives.custom.feature_extraction.CategoricalEncoder',
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'sklearn.impute.SimpleImputer',
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# 'sklearn.impute.SimpleImputer',
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'xgboost.XGBClassifier',
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'mlprimitives.custom.preprocessing.ClassDecoder'
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]

examples/tutorials/1. Using and MLPipeline.ipynb

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"primitives = [\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder',\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder',\n",
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" 'sklearn.impute.SimpleImputer',\n",
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" # 'sklearn.impute.SimpleImputer',\n",
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" 'xgboost.XGBClassifier',\n",
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" 'mlprimitives.custom.preprocessing.ClassDecoder'\n",
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"]\n",

examples/tutorials/3. Setting MLPipeline Hyperparameters.ipynb

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"primitives = [\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder',\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder',\n",
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" 'sklearn.impute.SimpleImputer',\n",
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" # 'sklearn.impute.SimpleImputer',\n",
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" 'xgboost.XGBClassifier',\n",
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" 'mlprimitives.custom.preprocessing.ClassDecoder'\n",
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"]\n",

examples/tutorials/4. Saving and Loading a Pipeline.ipynb

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"primitives = [\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder',\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder',\n",
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" 'sklearn.impute.SimpleImputer',\n",
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" # 'sklearn.impute.SimpleImputer',\n",
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" 'xgboost.XGBClassifier',\n",
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" 'mlprimitives.custom.preprocessing.ClassDecoder'\n",
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"]\n",

examples/tutorials/5. Partial execution and pipeline debugging.ipynb

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"primitives = [\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder',\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder',\n",
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" 'sklearn.impute.SimpleImputer',\n",
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" # 'sklearn.impute.SimpleImputer',\n",
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" 'xgboost.XGBClassifier',\n",
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" 'mlprimitives.custom.preprocessing.ClassDecoder'\n",
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"]\n",

examples/tutorials/6. Flexible outputs specification.ipynb

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"primitives = [\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder',\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder',\n",
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" 'sklearn.impute.SimpleImputer',\n",
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" # 'sklearn.impute.SimpleImputer',\n",
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" 'xgboost.XGBClassifier',\n",
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" 'mlprimitives.custom.preprocessing.ClassDecoder'\n",
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"]\n",

setup.py

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'Sphinx>=1.7.1,<3',
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'sphinx_rtd_theme>=0.2.4,<0.5',
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'docutils>=0.12,<0.18',
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'lxml_html_clean>=0.2.2',
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'ipython>=6.5.0',
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'autodocsumm>=0.1.10',
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'Jinja2>=2,<3', # >=3 makes sphinx theme fail

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