def gather_features(feature_names, outpaths, subsample_rate):
#=====[ Step 1: Sanitize input ]=====
if not len(feature_names) == len(outpaths):
click.echo("Make sure there is exactly one outpath for each feature")
#=====[ Step 1: Connect to db ]=====
click.echo("---> Connecting to DB")
db = ModalDB()
#=====[ Step 2: Gather features ]=====
click.echo("---> Gathering features")
feature_lists = {k:[] for k in feature_names}
for frame in db.iter_frames(verbose=True, subsample_rate=subsample_rate):
if not any([f[k] is None for k in feature_names]):
for k in feature_names:
feature_lists[k].append(frame[k])
#=====[ Step 3: Store gathered features ]=====
click.echo("---> Storing gathered features")
feature_matrices = {k:np.matrix(v) for k,v in feature_lists.items()}
for name, path in zip(feature_names, outpaths):
np.save(path, feature_names[name])
def gather_features(feature_names, outpaths, subsample_rate):
#=====[ Step 1: Sanitize input ]=====
if not len(feature_names) == len(outpaths):
click.echo("Make sure there is exactly one outpath for each feature")
#=====[ Step 1: Connect to db ]=====
click.echo("---> Connecting to DB")
db = ModalDB()
#=====[ Step 2: Gather features ]=====
click.echo("---> Gathering features")
feature_lists = {k: [] for k in feature_names}
for frame in db.iter_frames(verbose=True, subsample_rate=subsample_rate):
if not any([f[k] is None for k in feature_names]):
for k in feature_names:
feature_lists[k].append(frame[k])
#=====[ Step 3: Store gathered features ]=====
click.echo("---> Storing gathered features")
feature_matrices = {k: np.matrix(v) for k, v in feature_lists.items()}
for name, path in zip(feature_names, outpaths):
np.save(path, feature_names[name])
def show_schema():
db = ModalDB()
print '==========[ Current Schema ]=========='
db.print_schema()
def show_schema(): db = ModalDB() print '==========[ Current Schema ]==========' db.print_schema()
