def model_apis():
'''
List api of each model.
'''
for spec in list_models():
Model = import_model(spec).Model
attrs = sorted(attr for attr in dir(Model) if not attr.startswith('_'))
types = []
methods = []
constants = []
for attr in attrs:
var = getattr(Model, attr)
if isinstance(var, type):
types.append(attr)
elif hasattr(var, '__call__'):
methods.append(attr)
else:
constants.append(attr)
print 'distributions.{}.models.{}.{}:'.format(
spec['flavor'],
spec['name'],
Model.__name__)
print ' types:\n {}'.format('\n '.join(types))
print ' methods:\n {}'.format('\n '.join(methods))
print ' constants:\n {}'.format('\n '.join(constants))
def models_by_flavor():
'''
List models implemented of each flavor.
'''
flavors = defaultdict(lambda: [])
for spec in list_models():
flavors[spec['flavor']].append(spec['name'])
for flavor in sorted(flavors):
print 'flavor {}: {}'.format(flavor, ' '.join(sorted(flavors[flavor])))
def flavors_by_model():
'''
List flavors implemented of each model.
'''
models = defaultdict(lambda: [])
for spec in list_models():
models[spec['name']].append(spec['flavor'])
for model in sorted(models):
print 'model {}: {}'.format(model, ' '.join(sorted(models[model])))
def models_by_flavor():
'''
List models implemented of each flavor.
'''
flavors = defaultdict(lambda: [])
for spec in list_models():
flavors[spec['flavor']].append(spec['name'])
for flavor in sorted(flavors):
print 'flavor {}: {}'.format(flavor, ' '.join(sorted(flavors[flavor])))
def flavors_by_model():
'''
List flavors implemented of each model.
'''
models = defaultdict(lambda: [])
for spec in list_models():
models[spec['name']].append(spec['flavor'])
for model in sorted(models):
print 'model {}: {}'.format(model, ' '.join(sorted(models[model])))
def model_apis():
'''
List api of each model.
'''
for spec in list_models():
Model = import_model(spec).Model
attrs = sorted(attr for attr in dir(Model) if not attr.startswith('_'))
types = []
methods = []
constants = []
for attr in attrs:
var = getattr(Model, attr)
if isinstance(var, type):
types.append(attr)
elif hasattr(var, '__call__'):
methods.append(attr)
else:
constants.append(attr)
print 'distributions.{}.models.{}.{}:'.format(spec['flavor'],
spec['name'],
Model.__name__)
print ' types:\n {}'.format('\n '.join(types))
print ' methods:\n {}'.format('\n '.join(methods))
print ' constants:\n {}'.format('\n '.join(constants))
seed_all,
)
try:
import distributions.io.schema_pb2
has_protobuf = True
except ImportError:
has_protobuf = False
DATA_COUNT = 20
SAMPLE_COUNT = 1000
MIN_GOODNESS_OF_FIT = 1e-3
MODULES = {
'{flavor}.models.{name}'.format(**spec): import_model(spec)
for spec in list_models()
}
IS_FAST = {'dbg': False, 'hp': True, 'lp': True}
def model_is_fast(model):
flavor = model.__name__.split('.')[1]
return IS_FAST[flavor]
def iter_examples(module):
assert_hasattr(module, 'EXAMPLES')
EXAMPLES = module.EXAMPLES
assert_is_instance(EXAMPLES, list)
assert_true(EXAMPLES, 'no examples provided')
seed_all,
)
try:
import distributions.io.schema_pb2
has_protobuf = True
except ImportError:
has_protobuf = False
DATA_COUNT = 20
SAMPLE_COUNT = 1000
MIN_GOODNESS_OF_FIT = 1e-3
MODULES = {
'{flavor}.models.{name}'.format(**spec): import_model(spec)
for spec in list_models()
}
IS_FAST = {'dbg': False, 'hp': True, 'lp': True}
def model_is_fast(model):
flavor = model.__name__.split('.')[1]
return IS_FAST[flavor]
def iter_examples(module):
assert_hasattr(module, 'EXAMPLES')
EXAMPLES = module.EXAMPLES
assert_is_instance(EXAMPLES, list)
assert_true(EXAMPLES, 'no examples provided')