@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
Compute a moving mean squared error (MSE) incrementally.
Compute a moving root mean squared error (RMSE) incrementally.
Compute a moving residual sum of squares (RSS) incrementally.
Compute the mean squared error (MSE) incrementally.
Compute the root mean squared error (RMSE) incrementally.
Compute the residual sum of squares (RSS) incrementally.
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
Incrementally perform binary classification using stochastic gradient descent (SGD).
Online regression via stochastic gradient descent (SGD).
ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting
NodeJS implementation of Amazon machine learning API. The latest update has promise pattern implemented
Predicting Russian names from transliterated and short forms with statistical learning and Levenshtein distance
A JavaScript sequence prediction library, for building proactive and smart user interfaces
Library for generating text predictions based on machine learning models trained via typelike.me
JS ES6 library providing Cron-like scheduling date prediction, formatting and run-now capabilities.