SYMBOL INDEX (45 symbols across 3 files)

FILE: callbacks.py
  class newline_callbacks_begin (line 15) | class newline_callbacks_begin(Callback):
    method __init__ (line 16) | def __init__(self, outputDir):
    method on_epoch_end (line 22) | def on_epoch_end(self, epoch, epoch_logs={}):  # noqa: B006
  class newline_callbacks_end (line 45) | class newline_callbacks_end(Callback):
    method on_epoch_end (line 46) | def on_epoch_end(self, epoch, epoch_logs={}):  # noqa: B006
  class Losstimer (line 50) | class Losstimer(Callback):
    method __init__ (line 51) | def __init__(self, every=5):
    method on_train_begin (line 55) | def on_train_begin(self, logs):
    method on_batch_end (line 58) | def on_batch_end(self, batch, logs):
  class all_callbacks (line 69) | class all_callbacks:
    method __init__ (line 70) | def __init__(

FILE: nn_utils.py
  class NumpyFloatValuesEncoder (line 22) | class NumpyFloatValuesEncoder(json.JSONEncoder):
    method default (line 23) | def default(self, obj):
  class SaveTopN (line 29) | class SaveTopN(keras.callbacks.Callback):
    method __init__ (line 30) | def __init__(
    method on_epoch_end (line 53) | def on_epoch_end(self, epoch, logs=None):
    method rename_ckpts (line 81) | def rename_ckpts(self, dataset, bsz=65536):
  class PBarCallback (line 113) | class PBarCallback(tf.keras.callbacks.Callback):
    method __init__ (line 114) | def __init__(self, metric='loss: {loss:.2f}/{val_loss:.2f}'):
    method on_epoch_begin (line 118) | def on_epoch_begin(self, epoch, logs=None):
    method on_epoch_end (line 122) | def on_epoch_end(self, epoch, logs=None):
    method on_train_end (line 131) | def on_train_end(self, logs=None):
  function plot_history (line 136) | def plot_history(histry: dict, metrics=('loss', 'val_loss'), ylabel='Los...
  function save_model (line 148) | def save_model(model: keras.models.Model, path: str):
  function load_model (line 159) | def load_model(path: str, co=None):
  function save_history (line 167) | def save_history(history, path):
  function load_history (line 172) | def load_history(path):
  function absorb_batchNorm (line 178) | def absorb_batchNorm(model_target, model_original):
  function set_seed (line 213) | def set_seed(seed):
  function get_best_ckpt (line 222) | def get_best_ckpt(save_path: Path, take_min=False):
  class PeratoFront (line 237) | class PeratoFront(keras.callbacks.Callback):
    method __init__ (line 238) | def __init__(
    method on_epoch_end (line 255) | def on_epoch_end(self, epoch, logs=None):
    method rename_ckpts (line 287) | def rename_ckpts(self, dataset, bsz=65536):
  class BetaScheduler (line 312) | class BetaScheduler(keras.callbacks.Callback):
    method __init__ (line 313) | def __init__(self, beta_fn: Callable[[int], float]):
    method on_epoch_begin (line 316) | def on_epoch_begin(self, epoch, logs=None):
    method on_epoch_end (line 324) | def on_epoch_end(self, epoch, logs=None):
    method from_config (line 329) | def from_config(cls, config):
  function get_schedule (line 333) | def get_schedule(beta_conf, total_epochs):

FILE: plotting.py
  function plot_confusion_matrix (line 11) | def plot_confusion_matrix(cm, classes, normalize=False, title='Confusion...
  function plotRoc (line 38) | def plotRoc(fpr, tpr, auc, labels, linestyle, legend=True):
  function rocData (line 56) | def rocData(y, predict_test, labels):
  function makeRoc (line 73) | def makeRoc(y, predict_test, labels, linestyle='-', legend=True):
  function print_dict (line 82) | def print_dict(d, indent=0):