BaseEstimator |
Base class for all estimators in scikit-learn. |
ContainsElement(composition_feature, …[, …]) |
Class to generate new categorical features (i.e. |
DataframeUtilities |
Class of basic utilities for dataframe manipulation, and exchanging between dataframes and numpy arrays |
Magpie(composition_feature[, feature_types]) |
Class that wraps MagpieFeatureGeneration, giving it scikit-learn structure |
MagpieFeatureGeneration(dataframe, …) |
Class to generate new features using Magpie data and dataframe containing material compositions |
MaterialsProject(composition_feature, api_key) |
Class that wraps MaterialsProjectFeatureGeneration, giving it scikit-learn structure |
MaterialsProjectFeatureGeneration(dataframe, …) |
Class to generate new features using Materials Project data and dataframe containing material compositions Datarame must have a column named “Material compositions”. |
Matminer(structural_features, structure_col) |
Class to generate structural features from matminer structure module Args: structural_features: the structure feature(s) the user wants to instantiate and generate structure_col: the dataframe column that contains the pymatgen structure object. |
NoGenerate() |
Class for having a “null” transform where the output is the same as the input. |
PolynomialFeatures([features, degree, …]) |
Class to generate polynomial features using scikit-learn’s polynomial features method More info at: http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html |
SklearnPolynomialFeatures |
alias of sklearn.preprocessing._data.PolynomialFeatures |
TransformerMixin |
Mixin class for all transformers in scikit-learn. |
