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setup.py
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45 lines (44 loc) · 1.27 KB
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from setuptools import setup, find_packages
setup(
name="agent-multi",
version="0.3.0",
packages=find_packages(),
entry_points={
"console_scripts": [
"agent-multi=app.main:main",
],
"env.plugins": [
"gym_fx_env=env_plugins.gym_fx_env:Plugin",
],
"agent.plugins": [
"ppo_agent=agent_plugins.ppo_agent:Plugin",
"dqn_agent=agent_plugins.dqn_agent:Plugin",
"sac_agent=agent_plugins.sac_agent:Plugin",
"random_agent=agent_plugins.random_agent:Plugin",
"buy_hold_agent=agent_plugins.buy_hold_agent:Plugin",
],
"pipeline.plugins": [
"rl_pipeline=pipeline_plugins.rl_pipeline:PipelinePlugin",
],
"optimizer.plugins": [
"default_optimizer=optimizer_plugins.default_optimizer:Plugin",
],
},
install_requires=[
"numpy",
"pandas",
"requests",
"gymnasium",
"backtrader",
"stable-baselines3>=2.3",
"deap",
],
extras_require={
"dev": ["pytest"],
},
author="Harvey Bastidas",
author_email="your.email@example.com",
description=(
"Plugin-based RL trainer/optimizer that consumes the gym-fx environment."
),
)