Autopycoin reference

This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they do.

• data
  • autopycoin.data.random_ts
• dataset
  • autopycoin.dataset.generator.WindowGenerator
• losses
  • autopycoin.losses.QuantileLossError
  • autopycoin.losses.SymetricMeanAbsolutePercentageError

• Extension type
  • New extension types

• models
  • Base models
    • autopycoin.models.BaseModel
    • autopycoin.models.QuantileModel
    • autopycoin.models.UnivariateModel
  • nbeats
    • autopycoin.models.Stack
    • autopycoin.models.NBEATS
    • autopycoin.models.create_interpretable_nbeats
    • autopycoin.models.create_generic_nbeats
    • autopycoin.models.PoolNBEATS
• layers
  • Base layers
    • autopycoin.layers.BaseLayer
    • autopycoin.layers.QuantileLayer
    • autopycoin.layers.UnivariateLayer
  • nbeats layers
    • autopycoin.layers.BaseBlock
    • autopycoin.layers.TrendBlock
    • autopycoin.layers.SeasonalityBlock
    • autopycoin.layers.GenericBlock