PyPI page
Author:
lincode7
Summary:
MCP-native ML capability layer for autonomous data-analysis / model-training / prediction agents — enumerable MCP tool catalog composed into traceable YAML-DAG experiment workflows
Latest version:
0.1.2
Required dependencies:
agentcat
|
jinja2
|
mcp
|
mlflow
|
py-machineid
|
pydantic
|
pyyaml
Optional dependencies:
catboost
|
iterative-stratification
|
lightgbm
|
llvmlite
|
matplotlib
|
numba
|
numpy
|
openpyxl
|
optuna
|
pandas
|
psycopg2-binary
|
pyarrow
|
pytorch-lightning
|
requests
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
statsmodels
|
torch
|
xgboost-cpu
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