Module Expr Str Assign NameStore Str Assign NameStore Str Assign NameStore Str ImportFrom alias alias ClassDef bases NameLoad body Expr Str FunctionDef arguments args NameParam NameParam NameParam defaults body Assign AttributeStore NameLoad attr NameLoad Assign AttributeStore NameLoad attr ListComp Call NameLoad NameLoad NameLoad comprehension NameStore NameLoad decorator_list FunctionDef arguments args NameParam NameParam defaults body Expr Str Return SubscriptLoad AttributeLoad NameLoad attr Index NameLoad decorator_list FunctionDef arguments args NameParam NameParam defaults body Expr Str Return ListComp Call AttributeLoad NameLoad attr NameLoad comprehension NameStore AttributeLoad NameLoad attr decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return Call AttributeLoad SubscriptLoad AttributeLoad NameLoad attr Index Num attr decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return Call AttributeLoad SubscriptLoad AttributeLoad NameLoad attr Index Num attr decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return Call AttributeLoad SubscriptLoad AttributeLoad NameLoad attr Index Num attr decorator_list FunctionDef arguments args NameParam defaults body Expr Str Return Call AttributeLoad SubscriptLoad AttributeLoad NameLoad attr Index Num attr decorator_list decorator_list
N/A N/A 
Cross-validation with MLPs.
 N/A __author__ Steven Kearnes N/A __copyright__ Copyright 2014, Stanford University N/A __license__ 3-clause BSD pylearn2.models.mlp Layer PretrainedLayer PretrainedLayerCV N/A Layer N/A N/A 
    Container of PretrainedLayer objects for use with TrainCV.

    Parameters
    ----------
    layer_name: str
        Name of layer.
    layer_content: array_like
        Pretrained layer models for each dataset subset.
     __init__ N/A N/A self layer_name layer_content N/A N/A N/A N/A self layer_name layer_name N/A N/A self _folds N/A N/A PretrainedLayer layer_name subset_content N/A subset_content layer_content N/A select_fold N/A N/A self k N/A N/A N/A 
        Choose a single cross-validation fold to represent.

        Parameters
        ----------
        k : int
            Index of selected fold.
         N/A N/A N/A self _folds N/A k N/A set_input_space N/A N/A self space N/A N/A N/A 
        Set input space.

        Parameters
        ----------
        space : Space
            The input space for this layer.
         N/A N/A N/A N/A fold set_input_space space N/A fold N/A self _folds N/A get_params N/A N/A self N/A N/A N/A Get parameters. N/A N/A N/A N/A N/A self _folds N/A 0 get_params N/A get_input_space N/A N/A self N/A N/A N/A Get input space. N/A N/A N/A N/A N/A self _folds N/A 0 get_input_space N/A get_output_space N/A N/A self N/A N/A N/A Get output space. N/A N/A N/A N/A N/A self _folds N/A 0 get_output_space N/A get_monitoring_channels N/A N/A self N/A N/A N/A Get monitoring channels. N/A N/A N/A N/A N/A self _folds N/A 0 get_monitoring_channels N/A N/A