__init__(dataset[, covfact]) |
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covariance_factor() |
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evaluate(points) |
Evaluate the estimated pdf on a set of points. |
integrate_box(low_bounds, high_bounds[, maxpts]) |
Computes the integral of a pdf over a rectangular interval. |
integrate_box_1d(low, high) |
Computes the integral of a 1D pdf between two bounds. |
integrate_gaussian(mean, cov) |
Multiply estimated density by a multivariate Gaussian and integrate over the whole space. |
integrate_kde(other) |
Computes the integral of the product of this kernel density estimate with another. |
logpdf(x) |
Evaluate the log of the estimated pdf on a provided set of points. |
pdf(x) |
Evaluate the estimated pdf on a provided set of points. |
resample([size]) |
Randomly sample a dataset from the estimated pdf. |
reset_covfact(covfact) |
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scotts_factor() |
Computes the coefficient (kde.factor) that multiplies the data covariance matrix to obtain the kernel covariance matrix. |
set_bandwidth([bw_method]) |
Compute the estimator bandwidth with given method. |
silverman_factor() |
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