Index

_ | A | B | C | D | E | G | H | I | L | M | N | O | P | R | S | T | W

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_

__init__() (pycvf.datasets.SPECS.ref.DB method) __iter__() (pycvf.datasets.SPECS.ref.DB method)

__len__() (pycvf.datasets.SPECS.ref.DB method)

A

add_labelexp() (pycvf.core.dataset.Dataset method) add_precomputed_labels() (pycvf.core.dataset.Dataset method)

B

basis() (pycvf.nodes.vectors.PCA.IPCAProcessor method)

C

Combiner (class in pycvf.nodes.combined) cpu_cost() (pycvf.stats.CLS.knn.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) (pycvf.stats.DE.histogram.StatModel method)

D

Dataset (class in pycvf.core.dataset) dataset_hash() (pycvf.core.dataset.Dataset method) DB (class in pycvf.datasets.aggregated_dataset) (class in pycvf.datasets.SPECS.ref) (class in pycvf.datasets.exploded) (class in pycvf.datasets.filtered) (class in pycvf.datasets.from_trackfile) (class in pycvf.datasets.limit) (class in pycvf.datasets.transformed) (class in pycvf.datasets.vectors.clustered_points) (class in pycvfext.image.datasets.directories) (class in pycvfext.image.datasets.directory) (class in pycvfext.image.datasets.kanji) (class in pycvfext.image.datasets.labelme) (class in pycvfext.image.datasets.pdf) (class in pycvfext.video.datasets.directory) (class in pycvfext.video.datasets.shots_of) (class in pycvfext.web.datasets.flickr) (class in pycvfext.web.datasets.yahoo_image)

dump() (pycvf.stats.CLS.knn.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) (pycvf.stats.DE.histogram.StatModel method)

E

eval() (pycvf.stats.DE.histogram.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method)

G

get_as_vector() (pycvf.stats.DE.histogram.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method)

get_submodels_status() (pycvf.nodes.combined.Combiner method)

H

histogram_alt() (in module pycvf.nodes.histogram)

I

import_labeling_from() (pycvf.core.dataset.Dataset method) init() (pycvf.nodes.combined.Combiner method) (pycvf.nodes.vectors.PCA.IPCAProcessor method) (pycvf.nodes.vectors.whiten.Whitener method) init_featurefilter() (pycvf.nodes.naive.Node method) init_model() (pycvf.nodes.exploded_transform.Node method) (pycvf.nodes.sequence.select.Node method) (pycvf.nodes.vectors.combined.Node method)

input_datatype() (pycvf.nodes.exploded_transform.Node method) (pycvf.nodes.sequence.select.Node class method) (pycvf.nodes.vectors.combined.Node method) IPCAProcessor (class in pycvf.nodes.vectors.PCA) iprocess() (pycvf.nodes.vectors.PCA.IPCAProcessor method)

L

load() (pycvf.stats.CLS.knn.StatModel static method) (pycvf.stats.DE.SPECS.ref.StatModel static method) (pycvf.stats.DE.histogram.StatModel static method)

M

manysamples() (pycvf.stats.DE.histogram.StatModel method) memory_cost() (pycvf.stats.CLS.knn.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) (pycvf.stats.DE.histogram.StatModel method)

N

Node (class in pycvf.nodes.exploded_transform) (class in pycvf.nodes.SPECS.ref) (class in pycvf.nodes.naive) (class in pycvf.nodes.sequence.select) (class in pycvf.nodes.vectors.combined)

NodeTrainer (class in pycvf.nodes.vectors.train)

O

on_destroy() (pycvf.nodes.exploded_transform.Node method) on_model_destroy() (pycvf.nodes.combined.Combiner method) (pycvf.nodes.reference.Reference method) (pycvf.nodes.vectors.PCA.IPCAProcessor method) (pycvf.nodes.vectors.train.NodeTrainer method) (pycvf.nodes.vectors.whiten.Whitener method)

onesample() (pycvf.stats.DE.histogram.StatModel method) online_train() (pycvf.stats.DE.histogram.StatModel method) output_datatype() (pycvf.nodes.exploded_transform.Node method) (pycvf.nodes.sequence.select.Node method) (pycvf.nodes.vectors.combined.Node method)

P

predict() (pycvf.stats.CLS.knn.StatModel method) process() (pycvf.nodes.combined.Combiner method) (pycvf.nodes.reference.Reference method) (pycvf.nodes.vectors.PCA.IPCAProcessor method) (pycvf.nodes.vectors.train.NodeTrainer method) (pycvf.nodes.vectors.whiten.Whitener method) push_histogram() (pycvf.stats.DE.histogram.StatModel method) pycvf.datasets.interactive.DB (built-in class) pycvf.nodes.combined (module) pycvf.nodes.debug.display (module) pycvf.nodes.exploded_transform (module)

pycvf.nodes.histogram (module) pycvf.nodes.interactive (module) pycvf.nodes.naive (module) pycvf.nodes.reference (module) pycvf.nodes.sequence.ngrams (module) pycvf.nodes.sequence.select (module) pycvf.nodes.vectors.combined (module) pycvf.nodes.vectors.PCA (module) pycvf.nodes.vectors.train (module) pycvf.nodes.vectors.whiten (module)

R

random_improve() (pycvf.stats.CLS.knn.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) (pycvf.stats.DE.histogram.StatModel method)

Reference (class in pycvf.nodes.reference)

S

sample() (pycvf.stats.DE.histogram.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) save() (pycvf.nodes.vectors.PCA.IPCAProcessor method) select_node() (in module pycvf.nodes.interactive) set_curdb() (pycvf.nodes.combined.Combiner method) set_curdb_() (pycvf.nodes.exploded_transform.Node method) set_model_node() (pycvf.nodes.combined.Combiner method) (pycvf.nodes.reference.Reference method) (pycvf.nodes.vectors.PCA.IPCAProcessor method) (pycvf.nodes.vectors.train.NodeTrainer method) (pycvf.nodes.vectors.whiten.Whitener method)

StatModel (class in pycvf.stats.CLS.knn) (class in pycvf.stats.DE.SPECS.ref) (class in pycvf.stats.DE.histogram) (in module pycvf.stats.CLS.knn_plus_cls) (in module pycvf.stats.CLS.svm_multiclass) (in module pycvf.stats.CLS.weka_bridge) (in module pycvf.stats.CLU.greedyRSC) (in module pycvf.stats.DE.parzen) subscale() (pycvf.stats.DE.histogram.StatModel method) subscale_histo() (pycvf.stats.DE.histogram.StatModel method)

T

train() (pycvf.stats.CLS.knn.StatModel method) (pycvf.stats.DE.SPECS.ref.StatModel method) (pycvf.stats.DE.histogram.StatModel method)

W

Whitener (class in pycvf.nodes.vectors.whiten)