An MLJ compatible Julia toolbox for machine learning with time series.
To install MLJTime.jl, launch Julia and run:
]add "https://github.com/alan-turing-institute/MLJTime.jl.git"
MLJTime.jl requires Julia version 1.0 or greater.
using MLJTime
# load data
X, y = ts_dataset("Chinatown")
# split data into training and test set
train, test = partition(eachindex(y), 0.7, shuffle=true, rng=1234) #70:30 split
X_train, y_train = X[train], y[train];
X_test, y_test = X[test], y[test];
# train model
model = TimeSeriesForestClassifier(n_trees=3)
mach = machine(model, matrix(X_train), y_train)
fit!(mach)
# make predictions
y_pred = predict_mode(mach, matrix(X_train))
To find out more, check out our:
In future work, we want to add:
This project was originally developed as part of the Google Summer of Code 2020 with the support of the Julia community and my mentors Sebastian Vollmer and Markus Löning.
Active maintainers: