Index

A

apply_on() (mlproblems.generic.MLProblem method) ascii_load() (in module misc.io)

ASCIIResult (class in misc.io) ASCIIResultTable (class in misc.io)

B

BagDistribution (class in learners.distribution) BayesClassifier (class in learners.classification)

BoostedTrees (class in learners.third_party.orange.classification) bprop() (learners.classification.ClusteredWeightsNNet method)

C

CenterAndNormalize (class in learners.features) ClassificationFrom3DLabelingProblem (class in mlproblems.classification) ClassificationProblem (class in mlproblems.classification) ClassNADE (class in learners.classification)

ClassSubsetProblem (class in mlproblems.classification) ClusteredWeightsNNet (class in learners.classification) compute_features() (learners.features.FeatureLearner method)

D

datasets (module) datasets.abalone (module) datasets.adult (module) datasets.bibtex (module) datasets.binarized_mnist (module) datasets.cadata (module) datasets.cifar10 (module) datasets.connect4 (module) datasets.convex (module) datasets.corel5k (module) datasets.corrupted_mnist (module) datasets.corrupted_ocr_letters (module) datasets.dna (module) datasets.face_completion_lfw (module) datasets.heart (module) datasets.housing (module) datasets.letor_mq2007 (module) datasets.letor_mq2008 (module) datasets.majmin (module) datasets.mediamill (module) datasets.medical (module) datasets.mnist (module) datasets.mnist_background_images (module) datasets.mnist_background_random (module) datasets.mnist_basic (module)

datasets.mnist_rotated (module) datasets.mnist_rotated_background_images (module) datasets.mturk (module) datasets.mushrooms (module) datasets.newsgroups (module) datasets.nips (module) datasets.occluded_faces_lfw (module) datasets.occluded_mnist (module) datasets.ocr_letters (module) datasets.rectangles (module) datasets.rectangles_images (module) datasets.sarcos (module) datasets.store (module) datasets.web (module) datasets.yahoo_ltrc1 (module) datasets.yahoo_ltrc2 (module) datasets.yeast (module) delete() (in module datasets.store) download() (in module datasets.store) dreclin() (in module mathutils.nonlinear) drecursive_reclin() (learners.classification.ClassNADE method) drecursive_sigmoid() (learners.classification.ClassNADE method) (learners.distribution.NADE method) drecursive_tanh() (learners.classification.ClassNADE method) dsigmoid() (in module mathutils.nonlinear) dtanh() (in module mathutils.nonlinear)

E

err_and_ndcg() (in module learners.ranking)

F

FeatureLearner (class in learners.features) FeaturePipeline (class in learners.features) FileDataset (class in misc.io) FilesDataset (class in misc.io)

filter() (misc.io.ASCIIResultTable method) forget() (learners.generic.Learner method) fprop() (learners.classification.ClusteredWeightsNNet method) FVSBN (class in learners.distribution)

G

get_classification_problem() (in module datasets.store) get_collaborative_filtering_problem() (in module datasets.store) get_distribution_problem() (in module datasets.store) get_generic_problem() (in module datasets.store) get_image_classification_problem() (in module datasets.store) get_k_fold_experiment() (in module datasets.store) get_multilabel_problem() (in module datasets.store) get_multiregression_problem() (in module datasets.store) get_nlp_problem() (in module datasets.store)

get_object_recognition_experiment() (in module datasets.store) get_ranking_problem() (in module datasets.store) get_regression_problem() (in module datasets.store) get_semisupervised_experiment() (in module datasets.store) get_topic_modeling_problem() (in module datasets.store) getdiag() (in module mathutils.linalg) gload() (in module misc.io) gsave() (in module misc.io)

I

IteratorWithFields (class in misc.io)

K

k_means (class in learners.features)

KFirstProblem (class in mlproblems.generic)

L

Learner (class in learners.generic) learners (module) learners.classification (module) learners.distribution (module) learners.features (module) learners.generic (module) learners.ranking (module) learners.sparse (module) learners.sparse.classification (module) learners.third_party (module) learners.third_party.libsvm (module) learners.third_party.libsvm.classification (module) learners.third_party.milk (module) learners.third_party.milk.classification (module)

learners.third_party.orange (module) learners.third_party.orange.classification (module) learners.third_party.treelearn (module) learners.third_party.treelearn.classification (module) letor_evaluation() (in module datasets.letor_mq2007) (in module datasets.letor_mq2008) libsvm_load() (in module misc.io) libsvm_load_line() (in module misc.io) LinearSVM (class in learners.classification) ListNet (class in learners.ranking) load() (in module datasets.abalone) (in module datasets.adult) (in module datasets.bibtex) (in module datasets.binarized_mnist) (in module datasets.cadata) (in module datasets.cifar10) (in module datasets.connect4) (in module datasets.convex) (in module datasets.corel5k) (in module datasets.corrupted_mnist) (in module datasets.corrupted_ocr_letters) (in module datasets.dna) (in module datasets.face_completion_lfw) (in module datasets.heart) (in module datasets.housing) (in module datasets.letor_mq2007) (in module datasets.letor_mq2008) (in module datasets.majmin) (in module datasets.mediamill) (in module datasets.medical) (in module datasets.mnist) (in module datasets.mnist_background_images) (in module datasets.mnist_background_random) (in module datasets.mnist_basic) (in module datasets.mnist_rotated) (in module datasets.mnist_rotated_background_images) (in module datasets.mturk) (in module datasets.mushrooms) (in module datasets.newsgroups) (in module datasets.nips) (in module datasets.occluded_faces_lfw) (in module datasets.occluded_mnist) (in module datasets.ocr_letters) (in module datasets.rectangles) (in module datasets.rectangles_images) (in module datasets.sarcos) (in module datasets.web) (in module datasets.yahoo_ltrc1) (in module datasets.yahoo_ltrc2) (in module datasets.yeast) (in module misc.io) load_from_file() (in module misc.io) load_from_files() (in module misc.io) lu() (in module mathutils.linalg)

M

make_orange_dataset() (in module learners.third_party.orange.classification) mathutils (module) mathutils.linalg (module) mathutils.nonlinear (module) MemoryDataset (class in misc.io) MergedProblem (class in mlproblems.generic) MinibatchProblem (class in mlproblems.generic) misc (module) misc.io (module)

misc.visualize (module) MLProblem (class in mlproblems.generic) mlproblems (module) mlproblems.classification (module) mlproblems.generic (module) mlproblems.ranking (module) MultinomialNaiveBayesClassifier (class in learners.sparse.classification) multiple_row_accumulate() (in module mathutils.linalg)

N

NADE (class in learners.distribution)

NNet (class in learners.classification)

O

obtain() (in module datasets.abalone) (in module datasets.adult) (in module datasets.bibtex) (in module datasets.binarized_mnist) (in module datasets.cadata) (in module datasets.cifar10) (in module datasets.connect4) (in module datasets.convex) (in module datasets.corel5k) (in module datasets.corrupted_mnist) (in module datasets.corrupted_ocr_letters) (in module datasets.dna) (in module datasets.face_completion_lfw) (in module datasets.heart) (in module datasets.housing) (in module datasets.letor_mq2007) (in module datasets.letor_mq2008) (in module datasets.majmin) (in module datasets.mediamill) (in module datasets.medical) (in module datasets.mnist) (in module datasets.mnist_background_images) (in module datasets.mnist_background_random) (in module datasets.mnist_basic) (in module datasets.mnist_rotated) (in module datasets.mnist_rotated_background_images) (in module datasets.mturk) (in module datasets.mushrooms) (in module datasets.newsgroups) (in module datasets.nips) (in module datasets.occluded_faces_lfw) (in module datasets.occluded_mnist) (in module datasets.ocr_letters) (in module datasets.rectangles) (in module datasets.rectangles_images) (in module datasets.sarcos) (in module datasets.web) (in module datasets.yahoo_ltrc1) (in module datasets.yahoo_ltrc2) (in module datasets.yeast) OnlineLearner (class in learners.generic)

outer() (in module mathutils.linalg)

P

PCA (class in learners.features) peak() (mlproblems.generic.MLProblem method) PoissonNADE (class in learners.distribution)

PreprocessedProblem (class in mlproblems.generic) product_matrix_matrix() (in module mathutils.linalg) product_matrix_vector() (in module mathutils.linalg)

R

RandomForest (class in learners.third_party.orange.classification) (class in learners.third_party.treelearn.classification) RankingFromClassifier (class in learners.ranking) RankingFromRegression (class in learners.ranking) RankingProblem (class in mlproblems.ranking) RankingToClassificationProblem (class in mlproblems.ranking) RankingToRegressionProblem (class in mlproblems.ranking)

raw_source() (mlproblems.generic.MLProblem method) RBM (class in learners.features) reclin() (in module mathutils.nonlinear) recursive_reclin() (learners.classification.ClassNADE method) recursive_sigmoid() (learners.classification.ClassNADE method) (learners.distribution.NADE method) recursive_tanh() (learners.classification.ClassNADE method)

S

save() (in module misc.io) SemisupervisedProblem (class in mlproblems.generic) setdiag() (in module mathutils.linalg) setup() (mlproblems.generic.MLProblem method) show_binary_images() (in module misc.visualize) show_color_filters() (in module misc.visualize) show_color_images() (in module misc.visualize) show_filters() (in module misc.visualize) sigmoid() (in module mathutils.nonlinear)

softmax() (in module mathutils.nonlinear) softplus() (in module mathutils.nonlinear) solve() (in module mathutils.linalg) sort() (misc.io.ASCIIResultTable method) SubsetFieldsProblem (class in mlproblems.generic) SubsetProblem (class in mlproblems.generic) sum_columns() (in module mathutils.linalg) sum_rows() (in module mathutils.linalg) SVMClassifier (class in learners.third_party.libsvm.classification)

T

tanh() (in module mathutils.nonlinear) test() (learners.classification.BayesClassifier method) (learners.classification.LinearSVM method) (learners.distribution.BagDistribution method) (learners.features.CenterAndNormalize method) (learners.features.FeaturePipeline method) (learners.features.PCA method) (learners.features.ZCA method) (learners.features.k_means method) (learners.generic.Learner method) (learners.ranking.RankingFromClassifier method) (learners.ranking.RankingFromRegression method) (learners.third_party.libsvm.classification.SVMClassifier method) (learners.third_party.milk.classification.TreeClassifier method) (learners.third_party.orange.classification.BoostedTrees method) (learners.third_party.orange.classification.RandomForest method) (learners.third_party.treelearn.classification.RandomForest method) train() (learners.classification.BayesClassifier method) (learners.classification.LinearSVM method) (learners.distribution.BagDistribution method) (learners.features.CenterAndNormalize method) (learners.features.FeaturePipeline method) (learners.features.PCA method) (learners.features.ZCA method) (learners.features.k_means method) (learners.generic.Learner method) (learners.ranking.RankingFromClassifier method) (learners.ranking.RankingFromRegression method) (learners.third_party.libsvm.classification.SVMClassifier method) (learners.third_party.milk.classification.TreeClassifier method) (learners.third_party.orange.classification.BoostedTrees method) (learners.third_party.orange.classification.RandomForest method) (learners.third_party.treelearn.classification.RandomForest method)

TreeClassifier (class in learners.third_party.milk.classification) tsne_2D() (in module misc.visualize)

U

update() (learners.classification.ClusteredWeightsNNet method) use() (learners.classification.BayesClassifier method) (learners.classification.LinearSVM method) (learners.distribution.BagDistribution method) (learners.features.CenterAndNormalize method) (learners.features.FeaturePipeline method) (learners.features.PCA method) (learners.features.ZCA method) (learners.features.k_means method) (learners.generic.Learner method) (learners.ranking.RankingFromClassifier method) (learners.ranking.RankingFromRegression method) (learners.third_party.libsvm.classification.SVMClassifier method) (learners.third_party.milk.classification.TreeClassifier method) (learners.third_party.orange.classification.BoostedTrees method) (learners.third_party.orange.classification.RandomForest method) (learners.third_party.treelearn.classification.RandomForest method)

use_learner() (learners.classification.ClassNADE method)

Z

ZCA (class in learners.features)