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| def | teetool.helpers.getDistinctColours (ncolours, colour=None) |
| | a function to obtain n distinct colours (based on the colourspace spread into hue space), inspired by https://stackoverflow.com/questions/470690/how-to-automatically-generate-n-distinct-colors More...
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| def | teetool.helpers.find_nearest (original_values, target_values) |
| | function to find nearest values in an array, perfect for reducing the number of datapoints More...
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| def | teetool.helpers.nearest_spd (A) |
| | nearestSPD - the nearest (in Frobenius norm) Symmetric Positive Definite matrix to A More...
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| def | teetool.helpers.get_trajectories (ntype=0, ndim=3, ntraj=50, npoints=100, noise_std=.5) |
| | function to generate some distributed trajectories More...
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| def | teetool.helpers.in_hull (p, hull) |
| | Test if points in p are in hull More...
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| def | teetool.helpers.unique_rows (a) |
| | function to find unique rows More...
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| def | teetool.helpers.gauss_logp (y, ndim, c, A) |
| | function to evaluate the Gaussian log likelihood More...
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| def | teetool.helpers.gauss (y, ndim, c, A) |
| | function to evaluate the Gaussian (normal distribution) More...
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| def | teetool.helpers.gauss_logLc (y, ndim, cc, cA) |
| | function to evaluate the Gaussian log likelihood in cell-form More...
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| def | teetool.helpers.getMaxOutline (ndim) |
| | simple function to obtain infinite outline based on dimensionality More...
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| def | teetool.helpers.getGridFromResolution (outline, resolution) |
| | function to generate a grid based on outline and resolution More...
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| def | teetool.helpers.getDimension (cluster_data) |
| | finds dimension D based on cluster_data More...
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| def | teetool.helpers.getMinMax (cluster_data) |
| | find minimum/maximum of the cluster data (x, Y), x-component. More...
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| def | teetool.helpers.normalise_data (cluster_data) |
| | normalise the cluster_data in x-domain More...
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| def | teetool.helpers.getNorm (x, tuple_min_max) |
| | returns a normalised array based on a specified minimum/maximum More...
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| def | teetool.helpers.get_cluster_data_outline (cluster_data) |
| | returns the outline based on cluster_data More...
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| def | teetool.helpers.get_cluster_data_norm (cluster_data, outline=None) |
| | returns a normalised cluster_data based on outline More...
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