genui.maps.extensions.engstmaps.genuimodels package

Submodules

genui.maps.extensions.engstmaps.genuimodels.algorithms module

class genui.maps.extensions.engstmaps.genuimodels.algorithms.Isomap(builder, callback=None)

Bases: MapAlgorithm

fit(X: DataFrame, y=None)

getPoints(mols, X: DataFrame) → [<class 'genui.maps.models.Point'>]

property model

name = 'Isomap'

parameters = {'n_neighbors': {'defaultValue': 5, 'type': 'integer'}}

predict(X: DataFrame) → DataFrame

class genui.maps.extensions.engstmaps.genuimodels.algorithms.MDS(*args, **kwargs)

Bases: MapAlgorithm

fit(X: DataFrame, y=None)

getPoints(mols, X: DataFrame) → [<class 'genui.maps.models.Point'>]

property model

name = 'MDS'

parameters = {'n_init': {'defaultValue': 4, 'type': 'integer'}}

predict(X: DataFrame) → DataFrame

class genui.maps.extensions.engstmaps.genuimodels.algorithms.PCA(*args, **kwargs)

Bases: MapAlgorithm

fit(X: DataFrame, y=None)

getPoints(mols, X) → [<class 'genui.maps.models.Point'>]

property model

name = 'PCA'

predict(X: DataFrame) → DataFrame

scale(X) → DataFrame

class genui.maps.extensions.engstmaps.genuimodels.algorithms.SVD(builder, callback=None)

Bases: MapAlgorithm

fit(X: DataFrame, y=None)

getPoints(mols, X: DataFrame) → [<class 'genui.maps.models.Point'>]

property model

name = 'SVD'

predict(X: DataFrame) → DataFrame

class genui.maps.extensions.engstmaps.genuimodels.algorithms.UMAP(builder, callback=None)

Bases: MapAlgorithm

fit(X: DataFrame, y=None)

getPoints(mols, X: DataFrame) → [<class 'genui.maps.models.Point'>]

property model

name = 'UMAP'

parameters = {'metric': {'defaultValue': 'euclidean', 'type': 'string'}, 'min_dist': {'defaultValue': 0.1, 'type': 'float'}, 'n_neighbors': {'defaultValue': 15, 'type': 'integer'}}

predict(X: DataFrame) → DataFrame

Module contents