class MiniBatchSparsePCAImpl():
def __init__(self, n_components=None, alpha=1, ridge_alpha=0.01, n_iter=100, callback=None, batch_size=3, verbose=False, shuffle=True, n_jobs=None, method='lars', random_state=None, normalize_components=False):
self._hyperparams = {
'n_components': n_components,
'alpha': alpha,
'ridge_alpha': ridge_alpha,
'n_iter': n_iter,
'callback': callback,
'batch_size': batch_size,
'verbose': verbose,
'shuffle': shuffle,
'n_jobs': n_jobs,
'method': method,
'random_state': random_state,
'normalize_components': normalize_components}
self._wrapped_model = Op(**self._hyperparams)
def fit(self, X, y=None):
if (y is not None):
self._wrapped_model.fit(X, y)
else:
self._wrapped_model.fit(X)
return self
def transform(self, X):
return self._wrapped_model.transform(X)
def fit(self, X, y=None):
self._sklearn_model = SKLModel(**self._hyperparams)
if (y is not None):
self._sklearn_model.fit(X, y)
else:
self._sklearn_model.fit(X)
return self
def __init__(self,
n_components=None,
alpha=1,
ridge_alpha=0.01,
n_iter=100,
callback=None,
batch_size=3,
verbose=False,
shuffle=True,
n_jobs=None,
method='lars',
random_state=None,
normalize_components=False):
self._hyperparams = {
'n_components': n_components,
'alpha': alpha,
'ridge_alpha': ridge_alpha,
'n_iter': n_iter,
'callback': callback,
'batch_size': batch_size,
'verbose': verbose,
'shuffle': shuffle,
'n_jobs': n_jobs,
'method': method,
'random_state': random_state,
'normalize_components': normalize_components
}
self._wrapped_model = SKLModel(**self._hyperparams)
'LinearRegression':LinearRegression(), 'LinearSVC':LinearSVC(), 'LinearSVR':LinearSVR(), 'LocallyLinearEmbedding':LocallyLinearEmbedding(), 'LogisticRegression':LogisticRegression(), 'LogisticRegressionCV':LogisticRegressionCV(), 'MDS':MDS(), 'MLPClassifier':MLPClassifier(), 'MLPRegressor':MLPRegressor(), 'MaxAbsScaler':MaxAbsScaler(), 'MeanShift':MeanShift(), 'MinCovDet':MinCovDet(), 'MinMaxScaler':MinMaxScaler(), 'MiniBatchDictionaryLearning':MiniBatchDictionaryLearning(), 'MiniBatchKMeans':MiniBatchKMeans(), 'MiniBatchSparsePCA':MiniBatchSparsePCA(), 'MultiTaskElasticNet':MultiTaskElasticNet(), 'MultiTaskElasticNetCV':MultiTaskElasticNetCV(), 'MultiTaskLasso':MultiTaskLasso(), 'MultiTaskLassoCV':MultiTaskLassoCV(), 'MultinomialNB':MultinomialNB(), 'NMF':NMF(), 'NearestCentroid':NearestCentroid(), 'NearestNeighbors':NearestNeighbors(), 'Normalizer':Normalizer(), 'NuSVC':NuSVC(), 'NuSVR':NuSVR(), 'Nystroem':Nystroem(), 'OAS':OAS(), 'OneClassSVM':OneClassSVM(), 'OrthogonalMatchingPursuit':OrthogonalMatchingPursuit(),