sequence tweaks, removing market hours anything
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parent
1a09989055
commit
0e849b11bb
17 changed files with 413 additions and 877 deletions
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@ -9,9 +9,10 @@ import (
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// Interface Assertions.
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var (
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_ Series = (*LinearRegressionSeries)(nil)
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_ FirstValuesProvider = (*LinearRegressionSeries)(nil)
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_ LastValuesProvider = (*LinearRegressionSeries)(nil)
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_ Series = (*LinearRegressionSeries)(nil)
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_ FirstValuesProvider = (*LinearRegressionSeries)(nil)
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_ LastValuesProvider = (*LinearRegressionSeries)(nil)
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_ LinearCoefficientProvider = (*LinearRegressionSeries)(nil)
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)
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// LinearRegressionSeries is a series that plots the n-nearest neighbors
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@ -31,6 +32,19 @@ type LinearRegressionSeries struct {
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stddevx float64
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}
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// Coefficients returns the linear coefficients for the series.
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func (lrs LinearRegressionSeries) Coefficients() (m, b, stdev, avg float64) {
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if lrs.IsZero() {
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lrs.computeCoefficients()
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}
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m = lrs.m
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b = lrs.b
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stdev = lrs.stddevx
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avg = lrs.avgx
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return
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}
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// GetName returns the name of the time series.
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func (lrs LinearRegressionSeries) GetName() string {
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return lrs.Name
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@ -79,7 +93,7 @@ func (lrs *LinearRegressionSeries) GetValues(index int) (x, y float64) {
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if lrs.InnerSeries == nil || lrs.InnerSeries.Len() == 0 {
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return
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}
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if lrs.m == 0 && lrs.b == 0 {
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if lrs.IsZero() {
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lrs.computeCoefficients()
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}
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offset := lrs.GetOffset()
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@ -94,7 +108,7 @@ func (lrs *LinearRegressionSeries) GetFirstValues() (x, y float64) {
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if lrs.InnerSeries == nil || lrs.InnerSeries.Len() == 0 {
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return
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}
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if lrs.m == 0 && lrs.b == 0 {
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if lrs.IsZero() {
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lrs.computeCoefficients()
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}
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x, y = lrs.InnerSeries.GetValues(0)
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@ -107,7 +121,7 @@ func (lrs *LinearRegressionSeries) GetLastValues() (x, y float64) {
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if lrs.InnerSeries == nil || lrs.InnerSeries.Len() == 0 {
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return
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}
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if lrs.m == 0 && lrs.b == 0 {
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if lrs.IsZero() {
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lrs.computeCoefficients()
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}
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endIndex := lrs.GetEndIndex()
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@ -116,6 +130,29 @@ func (lrs *LinearRegressionSeries) GetLastValues() (x, y float64) {
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return
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}
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// Render renders the series.
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func (lrs *LinearRegressionSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
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style := lrs.Style.InheritFrom(defaults)
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Draw.LineSeries(r, canvasBox, xrange, yrange, style, lrs)
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}
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// Validate validates the series.
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func (lrs *LinearRegressionSeries) Validate() error {
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if lrs.InnerSeries == nil {
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return fmt.Errorf("linear regression series requires InnerSeries to be set")
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}
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return nil
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}
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// IsZero returns if we've computed the coefficients or not.
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func (lrs *LinearRegressionSeries) IsZero() bool {
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return lrs.m == 0 && lrs.b == 0
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}
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//
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// internal helpers
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//
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func (lrs *LinearRegressionSeries) normalize(xvalue float64) float64 {
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return (xvalue - lrs.avgx) / lrs.stddevx
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}
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@ -151,17 +188,3 @@ func (lrs *LinearRegressionSeries) computeCoefficients() {
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lrs.m = (p*sumxy - sumx*sumy) / (p*sumxx - sumx*sumx)
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lrs.b = (sumy / p) - (lrs.m * sumx / p)
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}
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// Render renders the series.
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func (lrs *LinearRegressionSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
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style := lrs.Style.InheritFrom(defaults)
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Draw.LineSeries(r, canvasBox, xrange, yrange, style, lrs)
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}
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// Validate validates the series.
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func (lrs *LinearRegressionSeries) Validate() error {
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if lrs.InnerSeries == nil {
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return fmt.Errorf("linear regression series requires InnerSeries to be set")
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}
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return nil
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}
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