Index

_

__init__() (pml.data.model.DataSet method) (pml.supervised.classifiers.AbstractClassifier method) (pml.supervised.classifiers.ClassifiedDataSet method) (pml.supervised.decision_trees.interface.DecisionTree method) (pml.supervised.decision_trees.tree_plotting.MatplotlibAnnotationTreePlotter method) (pml.supervised.decision_trees.trees.Node method) (pml.supervised.decision_trees.trees.Tree method) (pml.supervised.knn.Knn method) (pml.supervised.naive_bayes.NaiveBayes method) (pml.unsupervised.clustering.ClusteredDataSet method) (pml.unsupervised.pca.ReducedDataSet method) (pml.utils.errors.InconsistentFeaturesError method) (pml.utils.errors.InconsistentSampleIdError method) (pml.utils.errors.UnlabelledDataSetError method) (pml.utils.errors.UnsupportedPlotTypeError method)

A

AbstractClassifier (class in pml.supervised.classifiers) add_child() (pml.supervised.decision_trees.trees.Node method) are_all_equal() (in module pml.utils.collection_utils)

are_dataframes_equal() (in module pml.utils.pandas_util) arrow_args (pml.supervised.decision_trees.tree_plotting.MatplotlibAnnotationTreePlotter attribute) as_dataset() (in module pml.data.model)

B

build_tree() (in module pml.supervised.decision_trees.id3)

C

calculate_purity() (pml.unsupervised.clustering.ClusteredDataSet method) calculate_rand_index() (pml.unsupervised.clustering.ClusteredDataSet method) choose_feature_to_split() (in module pml.supervised.decision_trees.id3) ClassifiedDataSet (class in pml.supervised.classifiers) classify() (pml.supervised.classifiers.AbstractClassifier method) classify_all() (pml.supervised.classifiers.AbstractClassifier method)

ClusteredDataSet (class in pml.unsupervised.clustering) combine_labels() (pml.data.model.DataSet method) compute_accuracy() (pml.supervised.classifiers.ClassifiedDataSet method) copy() (pml.data.model.DataSet method) create_random_centroids() (in module pml.unsupervised.clustering)

D

DataSet (class in pml.data.model) decision_node_type (pml.supervised.decision_trees.tree_plotting.MatplotlibAnnotationTreePlotter attribute)

DecisionTree (class in pml.supervised.decision_trees.interface) drop_column() (pml.data.model.DataSet method)

E

entropy() (in module pml.tools.info_theory)

euclidean() (in module pml.utils.distance_utils)

F

feature_list() (pml.data.model.DataSet method)

fill_missing() (pml.data.model.DataSet method)

G

get_all_descendants() (pml.supervised.decision_trees.trees.Node method) get_branches() (pml.supervised.decision_trees.trees.Node method) get_child() (pml.supervised.decision_trees.trees.Node method) get_classification_probabilities() (pml.supervised.naive_bayes.NaiveBayes method) get_classifications() (pml.supervised.classifiers.ClassifiedDataSet method) get_cluster_assignments() (pml.unsupervised.clustering.ClusteredDataSet method) get_column() (pml.data.model.DataSet method) get_data_frame() (pml.data.model.DataSet method) get_depth() (pml.supervised.decision_trees.trees.Tree method) get_feature_value_counts() (pml.data.model.DataSet method) get_feature_values() (pml.data.model.DataSet method) get_height() (pml.supervised.decision_trees.trees.Node method) get_indices_with_value() (in module pml.utils.pandas_util)

get_key_with_highest_value() (in module pml.utils.collection_utils) get_label_value_counts() (pml.data.model.DataSet method) get_labelled_data_frame() (pml.data.model.DataSet method) get_labels() (pml.data.model.DataSet method) get_leaves() (pml.supervised.decision_trees.trees.Tree method) get_most_common() (in module pml.utils.collection_utils) get_num_leaves() (pml.supervised.decision_trees.trees.Tree method) get_pct_variance_per_principal_component() (in module pml.unsupervised.pca) get_root_node() (pml.supervised.decision_trees.trees.Tree method) get_row() (pml.data.model.DataSet method) get_rows() (pml.data.model.DataSet method) get_sample_ids() (pml.data.model.DataSet method) get_value() (pml.supervised.decision_trees.trees.Node method)

H

has_missing_values() (pml.data.model.DataSet method)

I

InconsistentFeaturesError InconsistentSampleIdError info_gain() (in module pml.tools.info_theory)

is_labelled() (pml.data.model.DataSet method) is_leaf() (pml.supervised.decision_trees.trees.Node method)

K

kmeans() (in module pml.unsupervised.clustering)

Knn (class in pml.supervised.knn)

L

label_filter() (pml.data.model.DataSet method) leaf_node_type (pml.supervised.decision_trees.tree_plotting.MatplotlibAnnotationTreePlotter attribute)

load() (in module pml.data.loader)

M

MatplotlibAnnotationTreePlotter (class in pml.supervised.decision_trees.tree_plotting)

N

NaiveBayes (class in pml.supervised.naive_bayes) Node (class in pml.supervised.decision_trees.trees)

num_features() (pml.data.model.DataSet method) num_samples() (pml.data.model.DataSet method)

P

pca() (in module pml.unsupervised.pca) percent_variance() (pml.unsupervised.pca.ReducedDataSet method) plot() (pml.supervised.decision_trees.interface.DecisionTree method) (pml.supervised.decision_trees.tree_plotting.MatplotlibAnnotationTreePlotter method) plot_pct_variance_per_principal_component() (in module pml.unsupervised.pca) plot_percent_series() (in module pml.utils.plotting) plot_radviz() (in module pml.utils.plotting) (pml.data.model.DataSet method) pml.data.loader (module) pml.data.model (module) pml.supervised.classifiers (module) pml.supervised.decision_trees.id3 (module) pml.supervised.decision_trees.interface (module) pml.supervised.decision_trees.tree_plotting (module)

pml.supervised.decision_trees.trees (module) pml.supervised.knn (module) pml.supervised.naive_bayes (module) pml.tools.info_theory (module) pml.unsupervised.clustering (module) pml.unsupervised.pca (module) pml.utils.collection_utils (module) pml.utils.distance_utils (module) pml.utils.errors (module) pml.utils.pandas_util (module) pml.utils.plotting (module)

R

recommend_num_components() (in module pml.unsupervised.pca) reduce_features() (pml.data.model.DataSet method) reduce_rows() (pml.data.model.DataSet method)

ReducedDataSet (class in pml.unsupervised.pca) remove_means() (in module pml.unsupervised.pca)

S

sample_filter() (pml.data.model.DataSet method) set_column() (pml.data.model.DataSet method)

shell_load() (in module pml.data.loader) split() (pml.data.model.DataSet method)

T

Tree (class in pml.supervised.decision_trees.trees)

U

UnlabelledDataSetError

UnsupportedPlotTypeError

V

value_filter() (pml.data.model.DataSet method)

verify_supported_series_plot_type() (in module pml.utils.plotting)