Current section

Files

Jump to
dspex lib snakebridge_generated dspy ensemble.ex
Raw

lib/snakebridge_generated/dspy/ensemble.ex

# Generated by SnakeBridge v0.13.0 - DO NOT EDIT MANUALLY
# Regenerate with: mix compile
# Library: dspy 3.1.2
# Python module: dspy
# Python class: Ensemble
defmodule Dspy.Ensemble do
@moduledoc """
Wrapper for Python class Ensemble.
"""
def __snakebridge_python_name__, do: "dspy"
def __snakebridge_python_class__, do: "Ensemble"
def __snakebridge_library__, do: "dspy"
@opaque t :: SnakeBridge.Ref.t()
@doc """
A common reduce_fn is dspy.majority.
## Parameters
- `reduce_fn` (term() keyword-only default: None)
- `size` (term() keyword-only default: None)
- `deterministic` (term() keyword-only default: False)
"""
@spec new(keyword()) :: {:ok, SnakeBridge.Ref.t()} | {:error, Snakepit.Error.t()}
def new(opts \\ []) do
SnakeBridge.Runtime.call_class(__MODULE__, :__init__, [], opts)
end
@doc """
Optimize the student program.
## Parameters
- `student` - The student program to optimize.
- `trainset` - The training set to use for optimization.
- `teacher` - The teacher program to use for optimization.
- `valset` - The validation set to use for optimization.
## Returns
- `term()`
"""
@spec compile(SnakeBridge.Ref.t(), term(), keyword()) ::
{:ok, term()} | {:error, Snakepit.Error.t()}
def compile(ref, programs, opts \\ []) do
SnakeBridge.Runtime.call_method(ref, :compile, [programs], opts)
end
@doc """
Get the parameters of the teleprompter.
## Returns
- `%{optional(String.t()) => term()}`
"""
@spec get_params(SnakeBridge.Ref.t(), keyword()) ::
{:ok, %{optional(String.t()) => term()}} | {:error, Snakepit.Error.t()}
def get_params(ref, opts \\ []) do
SnakeBridge.Runtime.call_method(ref, :get_params, [], opts)
end
end