package caisar

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package caisar

caisar.nir
- Nir
  - Gentensor
  - Ngraph
    
    Dot
    
    GFloat
    
    E
  - Node
  - Shape
  - Tensor
caisar.nnet
- Nnet
caisar.onnx
- Onnx
caisar.ovo
- Ovo
caisar.xgboost
- Caisar_xgboost
  - Input
  - Parser
  - Predict
  - Tree

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Library
Module
Module type
Parameter
Class
Class type

module Version : sig ... end

Versioning

module OperatorStatus : sig ... end

Operator/function status.

module AttributeProto : sig ... end

Attributes

module ValueInfoProto : sig ... end

Defines information on value, including the name, the type, and the shape of the value.

module NodeProto : sig ... end

Nodes

module TrainingInfoProto : sig ... end

Training information TrainingInfoProto stores information for training a model. In particular, this defines two functionalities: an initialization-step and a training-algorithm-step. Initialization resets the model back to its original state as if no training has been performed. Training algorithm improves the model based on input data.

module ModelProto : sig ... end

Models

module StringStringEntryProto : sig ... end

StringStringEntryProto follows the pattern for cross-proto-version maps. See https://developers.google.com/protocol-buffers/docs/proto3#maps

module TensorAnnotation : sig ... end

module GraphProto : sig ... end

Graphs

module TensorProto : sig ... end

Tensors

module SparseTensorProto : sig ... end

A serialized sparse-tensor value

module TensorShapeProto : sig ... end

Defines a tensor shape. A dimension can be either an integer value or a symbolic variable. A symbolic variable represents an unknown dimension.

module TypeProto : sig ... end

Types

module OperatorSetIdProto : sig ... end

Operator Sets

module FunctionProto : sig ... end