added first version of out-of-core example
revision round #1 (move to examples/applications, 1 file, auto-download dataset)
Add categorical_features option to OneHotEncoder.
Support both masks and arrays of indices.
Typo.
Rename _apply_transform to _transform_selected and make it a function
rather than a method.
pep8 / pep257 compliant formating
get rif of feature dicts, leverage HashingVectorizer class directly
plot as both a function of time and n_examples
using print() function
improve explanations on out-of-core learning paradigm
improve explanations on example structure
fixed use of docstrings + added section in whats_new.rst + added data dir to .gitignore
more robust data location
use same, separate held-out data to estimate accuracy after each mini-batch
added first version of out-of-core example
revision round #1 (move to examples/applications, 1 file, auto-download dataset)
pep8 / pep257 compliant formating
get rif of feature dicts, leverage HashingVectorizer class directly
plot as both a function of time and n_examples