Skip to main content
Glama
Sign In
genpark-data-matrix-svd-pca-dimensionality-reducer-skill

genpark-data-matrix-svd-pca-dimensionality-reducer-skill

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to genpark-data-matrix-svd-pca-dimensionality-reducer-skill

No user-submitted related servers found.

    Related Servers

    • genpark-linear-regression-gradient-descent-engine-skill

      genpark-linear-regressionofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to run zero-dependency statistical modeling and data analysis through MCP, including multivariate linear regression via gradient descent, anomaly detection, time-series forecasting, hypothesis testing, and PCA dimensionality reduction.
      7
      MIT

    • genpark-statistical-zscore-iqr

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables zero-dependency statistical analysis of numerical and time-series streams, flagging outliers via standard Z-score, modified median absolute deviation (MAD), and Tukey IQR fences. Also supports trend forecasting with Holt linear smoothing, multivariate gradient-descent regression, Welch's t-test hypothesis testing, and Power Iteration PCA dimensionality reduction through a native MCP stdio interface.
      7
      MIT

    • genpark-linear-regression

      Alpha-Park
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables users to perform multivariate linear regression with gradient descent, Holt linear forecasting, Welch's t-test evaluation, anomaly detection, and PCA dimensionality reduction through MCP-compatible clients using only Python standard library tools.
      MIT

    • genpark-statistical-zscore-iqr

      Alpha-Park
      A
      license
      Not graded
      quality
      Not graded
      maintenance
      Enables agents to detect outliers in numerical streams using multiple robust statistical strategies and to perform related analytics such as forecasting, regression, hypothesis testing, and dimensionality reduction via MCP.
      MIT
    • genpark-time-series-exponential-smoothing-forecaster-skill

      genpark-time-seriesofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to forecast numerical trends with zero-dependency Holt linear exponential smoothing, multi-step horizons, variance confidence bands, and supporting statistical anomaly detection, regression, hypothesis testing, and PCA.
      7
      MIT
    • genpark-hypothesis-welch-t-test-statistical-evaluator-skill

      genpark-hypothesis-welch-tofficial

      alphaparkinc
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients such as Claude Desktop, Cursor, and Windsurf to run two-sample Welch's t-tests that compute Satterthwaite degrees of freedom and two-tailed p-values for A/B test comparisons. It also exposes zero-dependency statistical primitives including Holt linear forecasting, Z-score/IQR anomaly detection, gradient-descent regression, and power-iteration PCA, all using only the Python standard library.
      7
      MIT

    This server cannot be deployed

    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    Resources