def dim_survey(X, entry_id):
# convert to numpy
X = np.array(X)
# run the reduction.
X_pca = PCA(n_components=3).fit_transform(X)
X_tsne = TSNE(n_components=3).fit_transform(X)
X_ica = FastICA(n_components=3).fit_transform(X)
# connect to db.
with mongoctx() as db:
# update the stuff.
db['entry'].update(
{
'_id': ObjectId(entry_id)
},
{
'$set': {
'pca': X_pca.tolist(),
'tsne': X_tsne.tolist(),
'ica': X_ica.tolist(),
}
}
)
