package caisar

You can search for identifiers within the package.

in-package search v0.2.0

A platform for characterizing the safety and robustness of artificial intelligence based software

Install

sha256=cd24b647565aaa4bb82d46c195c692d56ba0ad4b39bc86ef6baaf2d7a08c92a5

sha512=073761d95d6d8f6eb6f687643054297eb47db5d5bdc3a72ba42bf1509ab76415d485f536e5e42c11bd59c972ab7ad72e398d19af6e74c4f0778f28ef5bf4935e

Sourcetype t = private {

n_layers : int;
(*
Number of layers.
*)
n_inputs : int;
(*
Number of inputs.
*)
n_outputs : int;
(*
Number of outputs.
*)
max_layer_size : int;
(*
Maximum layer size.
*)
layer_sizes : int list;
(*
Size of each layer.
*)
min_input_values : float list option;
(*
Minimum values of inputs.
*)
max_input_values : float list option;
(*
Maximum values of inputs.
*)
mean_values : (float list * float) option;
(*
Mean values of inputs and one value for all outputs.
*)
range_values : (float list * float) option;
(*
Range values of inputs and one value for all outputs.
*)
weights_biases : float list list;
(*
All weights and biases of NNet model.
*)

}

NNet model metadata.

Sourceval parse : ?permissive:bool -> string -> (t, string) Result.t

Parse an NNet file.

parameter permissive
false by default. When set, parsing does not fail on non available information, which are set to None instead.