Custom Types¶
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class
flood_forecast.da_rnn.custom_types.TrainConfig(T, train_size, batch_size, loss_func)[source]¶ Bases:
tupleCreate new instance of TrainConfig(T, train_size, batch_size, loss_func)
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T¶ Alias for field number 0
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train_size¶ Alias for field number 1
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batch_size¶ Alias for field number 2
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loss_func¶ Alias for field number 3
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count()¶ Return number of occurrences of value.
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index()¶ Return first index of value.
Raises ValueError if the value is not present.
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class
flood_forecast.da_rnn.custom_types.TrainData(feats, targs)[source]¶ Bases:
tupleCreate new instance of TrainData(feats, targs)
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feats¶ Alias for field number 0
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targs¶ Alias for field number 1
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count()¶ Return number of occurrences of value.
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index()¶ Return first index of value.
Raises ValueError if the value is not present.
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class
flood_forecast.da_rnn.custom_types.DaRnnNet(encoder, decoder, enc_opt, dec_opt)¶ Bases:
tupleCreate new instance of DaRnnNet(encoder, decoder, enc_opt, dec_opt)
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count()¶ Return number of occurrences of value.
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dec_opt¶ Alias for field number 3
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decoder¶ Alias for field number 1
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enc_opt¶ Alias for field number 2
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encoder¶ Alias for field number 0
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index()¶ Return first index of value.
Raises ValueError if the value is not present.
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