SYMBOL INDEX (48 symbols across 8 files)

FILE: mnist1d/data.py
  function get_dataset_args (line 11) | def get_dataset_args(as_dict=False):
  function get_templates (line 41) | def get_templates():
  function make_dataset (line 64) | def make_dataset(args=None, template=None, ):
  function get_dataset (line 101) | def get_dataset(args, path=None, verbose=True, download=True, regenerate...

FILE: mnist1d/transform.py
  function pad (line 11) | def pad(x, padding: tuple):
  function shear (line 35) | def shear(x, scale=10):
  function translate (line 41) | def translate(x, max_translation):
  function corr_noise_like (line 47) | def corr_noise_like(x, scale):
  function iid_noise_like (line 53) | def iid_noise_like(x, scale):
  function interpolate (line 59) | def interpolate(x, N):
  function transform (line 67) | def transform(x, y, args, eps=1e-8):

FILE: mnist1d/utils.py
  function set_seed (line 10) | def set_seed(seed):
  function to_pickle (line 14) | def to_pickle(thing, path): # save something
  function from_pickle (line 19) | def from_pickle(path): # load something
  class ObjectView (line 25) | class ObjectView(object):
    method __init__ (line 26) | def __init__(self, d): self.__dict__ = d
  function plot_signals (line 29) | def plot_signals(xs, t, labels=None, args=None, ratio=2.6, do_transform=...

FILE: notebooks/models.py
  class LinearBase (line 8) | class LinearBase(nn.Module):
    method __init__ (line 9) | def __init__(self, input_size, output_size):
    method count_params (line 14) | def count_params(self):
    method forward (line 17) | def forward(self, x):
  class MLPBase (line 20) | class MLPBase(nn.Module):
    method __init__ (line 21) | def __init__(self, input_size, output_size, hidden_size=100):
    method count_params (line 28) | def count_params(self):
    method forward (line 31) | def forward(self, x):
  class ConvBase (line 36) | class ConvBase(nn.Module):
    method __init__ (line 37) | def __init__(self, output_size, channels=25, linear_in=125):
    method count_params (line 45) | def count_params(self):
    method forward (line 48) | def forward(self, x, verbose=False): # the print statements are for de...
  class GRUBase (line 56) | class GRUBase(torch.nn.Module):
    method __init__ (line 57) | def __init__(self, input_size, output_size, hidden_size=6, time_steps=...
    method count_params (line 67) | def count_params(self):
    method forward (line 70) | def forward(self, x, h0=None): # assumes seq has [batch, time]

FILE: notebooks/train.py
  function set_seed (line 14) | def set_seed(seed):
  function get_model_args (line 20) | def get_model_args(as_dict=False):
  function accuracy (line 36) | def accuracy(model, inputs, targets):
  function train_model (line 42) | def train_model(dataset, model, args):

FILE: tests/test_data.py
  function tmpfile (line 10) | def tmpfile():
  function test_get_templates (line 16) | def test_get_templates():
  function test_make_dataset (line 30) | def test_make_dataset():
  function test_get_dataset_args (line 50) | def test_get_dataset_args():
  function test_get_dataset (line 55) | def test_get_dataset(tmpfile):

FILE: tests/test_transform.py
  function tmpfile (line 12) | def tmpfile():
  function test_padding (line 18) | def test_padding(tmpfile):

FILE: tests/test_utils.py
  function tmpfile (line 13) | def tmpfile():
  function test_seed_is_fixed (line 19) | def test_seed_is_fixed():
  function test_pickle_roundtrip (line 28) | def test_pickle_roundtrip(tmpfile):
  function test_object_view (line 38) | def test_object_view():