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b389c3d302
Pushservice is the main recommendation service we use to surface recommendations to our users via notifications. It fetches candidates from various sources, ranks them in order of relevance, and applies filters to determine the best one to send.
50 lines
1.0 KiB
Python
50 lines
1.0 KiB
Python
"""
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Parameters used in ClemNet.
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"""
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from typing import List, Optional
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from pydantic import BaseModel, Extra, Field, PositiveInt
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# checkstyle: noqa
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class ExtendedBaseModel(BaseModel):
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class Config:
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extra = Extra.forbid
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class DenseParams(ExtendedBaseModel):
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name: Optional[str]
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bias_initializer: str = "zeros"
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kernel_initializer: str = "glorot_uniform"
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output_size: PositiveInt
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use_bias: bool = Field(True)
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class ConvParams(ExtendedBaseModel):
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name: Optional[str]
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bias_initializer: str = "zeros"
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filters: PositiveInt
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kernel_initializer: str = "glorot_uniform"
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kernel_size: PositiveInt
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padding: str = "SAME"
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strides: PositiveInt = 1
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use_bias: bool = Field(True)
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class BlockParams(ExtendedBaseModel):
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activation: Optional[str]
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conv: Optional[ConvParams]
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dense: Optional[DenseParams]
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residual: Optional[bool]
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class TopLayerParams(ExtendedBaseModel):
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n_labels: PositiveInt
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class ClemNetParams(ExtendedBaseModel):
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blocks: List[BlockParams] = []
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top: Optional[TopLayerParams]
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