mistk.model.server.models.model_instance_init_params module¶
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class
mistk.model.server.models.model_instance_init_params.ModelInstanceInitParams(objectives: List[str] = None, model_properties: object = None, hyperparameters: object = None)¶ Bases:
mistk.model.server.models.base_model_.ModelNOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
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classmethod
from_dict(dikt) → mistk.model.server.models.model_instance_init_params.ModelInstanceInitParams¶ Returns the dict as a model
- Parameters
dikt – A dict.
- Type
dict
- Returns
The ModelInstanceInitParams of this ModelInstanceInitParams. # noqa: E501
- Return type
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property
hyperparameters¶ Gets the hyperparameters of this ModelInstanceInitParams.
A dictionary of hyperparameters that are used by the model. Hyperparameters are typically defined by the algorithm that a model is based on. # noqa: E501
- Returns
The hyperparameters of this ModelInstanceInitParams.
- Return type
object
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property
model_properties¶ Gets the model_properties of this ModelInstanceInitParams.
A dictionary of settings or configuration values that are passed from the ecosystem, but are not considered model hyperparameters. Model properties are typically defined by a specific implementation of an algorithm (ie. a PyTorch implementation of Densenet may have different properties than a Tensorflow implementation). # noqa: E501
- Returns
The model_properties of this ModelInstanceInitParams.
- Return type
object
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property
objectives¶ Gets the objectives of this ModelInstanceInitParams.
The objectives inform the model how it will be used while running # noqa: E501
- Returns
The objectives of this ModelInstanceInitParams.
- Return type
List[str]
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classmethod