/// <inheritdoc />
public override int GetHashCode()
{
unchecked // Overflow is fine, just wrap
{
var hashCode = 41;
if (Rows != null)
{
hashCode = hashCode * 59 + Rows.GetHashCode();
}
if (RowOrder != null)
{
hashCode = hashCode * 59 + RowOrder.GetHashCode();
}
if (Columns != null)
{
hashCode = hashCode * 59 + Columns.GetHashCode();
}
if (Subplots != null)
{
hashCode = hashCode * 59 + Subplots.GetHashCode();
}
if (XAxes != null)
{
hashCode = hashCode * 59 + XAxes.GetHashCode();
}
if (YAxes != null)
{
hashCode = hashCode * 59 + YAxes.GetHashCode();
}
if (Pattern != null)
{
hashCode = hashCode * 59 + Pattern.GetHashCode();
}
if (XGap != null)
{
hashCode = hashCode * 59 + XGap.GetHashCode();
}
if (YGap != null)
{
hashCode = hashCode * 59 + YGap.GetHashCode();
}
if (Domain != null)
{
hashCode = hashCode * 59 + Domain.GetHashCode();
}
if (XSide != null)
{
hashCode = hashCode * 59 + XSide.GetHashCode();
}
if (YSide != null)
{
hashCode = hashCode * 59 + YSide.GetHashCode();
}
return(hashCode);
}
}
/// <summary>
/// Plots the image reconstructions. Note that we assume the images are square
/// </summary>
/// <returns>The reconstructions.</returns>
/// <param name="reconstructions">Reconstructions.</param>
/// <param name="averageError">The average reconstruction error.</param>
/// <param name="subTitle">Sub title.</param>
/// <param name="normalised">Whether these are normalised reconstructions.</param>
/// <param name="plotOptions">Plotting options.</param>
public static void PlotImageReconstructions(Reconstruction[] reconstructions, double averageError,
string subTitle, bool normalised, PlotOptions plotOptions)
{
var series1 = reconstructions.Take(plotOptions.Reconstructions.NumToShow).Select(
(ia, i) => (ISeries) new HintonSeries
{
Label = "signal",
Values = Reshape(Vector.Build.Dense(ia.Signal)),
Row = i,
Column = 0
}).ToArray();
var series2 = reconstructions.Take(plotOptions.Reconstructions.NumToShow).Select(
(ia, i) => (ISeries) new HintonSeries
{
Label = "reconstruction",
// ErrorLabel = "$\\pm$s.d.",
Values = Reshape(Vector.Build.Dense(ia.Estimate.GetMeans())),
// ErrorValues = ia.Estimate.GetStandardDeviations(),
Row = i,
Column = 1
}).ToArray();
IList <ISeries> series = series1.Concat(series2).ToArray();
string n = normalised ? "(normalised)" : string.Empty;
var subplots = new Subplots {
Rows = plotOptions.Reconstructions.NumToShow, Columns = 2, ShareX = false, ShareY = false
};
string sub1 = string.IsNullOrEmpty(subTitle) ? string.Empty : $" {subTitle.Replace("_", " ")}";
string sub2 = string.IsNullOrEmpty(subTitle) ? string.Empty : $"_{subTitle.Replace(" ", "_")}";
string message = $"Reconstructions {n}{sub1}, avg. error={averageError:N4}";
Console.WriteLine(message);
var plotter = new Plotter
{
Title = message,
XLabel = "x",
YLabel = "y",
Grid = false,
Series = series,
Subplots = subplots,
ScriptName = Path.Combine(ScriptPath, $"Reconstructions_{n}{sub2}.py"),
FigureName = Path.Combine(FigurePath, $"Reconstructions_{n}{sub2}.pdf"),
Python = PythonPath,
Show = plotOptions.Reconstructions.Show
};
plotter.Plot();
}
/// <summary>
/// Plots the results.
/// </summary>
/// <returns>The results.</returns>
/// <param name="numBases">Number of bases.</param>
/// <param name="signalWidth">The signal width.</param>
/// <param name="dictionary">Dictionary.</param>
/// <param name="coefficients">Coefficients.</param>
/// <param name="st">Sub title.</param>
/// <param name="plotOptions">The plotting options.</param>
/// <param name="labels">Class labels.</param>
public static void PlotResults(
int numBases, int signalWidth,
Gaussian[][][] dictionary, Gaussian[][][] coefficients,
string st, PlotOptions plotOptions, IList <string> labels)
{
var subplots = new Subplots
{
ShareX = true,
ShareY = true,
Rows = numBases < 16 ? numBases : 4,
Columns = numBases < 16 ? 1 : 4,
};
plotOptions.Dictionary.Subplots = subplots;
plotOptions.Dictionary.NumToShow = plotOptions.IsImage ? 1 : Math.Min(numBases, 16);
for (var i = 0; i < dictionary.Length; i++)
{
string label = "Dictionary_class=" + (labels == null ? $"{i}" : labels[i]);
if (plotOptions.IsImage)
{
PlotImages(dictionary[i], signalWidth, label, plotOptions.Dictionary);
}
else
{
PlotPosteriors(dictionary[i], label, st, plotOptions.Dictionary);
}
}
if (coefficients == null)
{
return;
}
subplots.Rows = 3;
subplots.Columns = 2;
plotOptions.Coefficients.NumToShow = 6;
plotOptions.Coefficients.Subplots = subplots;
for (var i = 0; i < coefficients.Length; i++)
{
var coefficient = coefficients[i];
string label = "Coefficients_class={label}" + (labels == null ? $"{i}" : labels[i]);
PlotPosteriors(coefficient, label, st, plotOptions.Coefficients);
}
}
/// <summary>
/// Plots the results.
/// </summary>
/// <returns>The results.</returns>
/// <param name="numBases">Number of bases.</param>
/// <param name="signalWidth">The signal width.</param>
/// <param name="dictionary">Dictionary.</param>
/// <param name="coefficients">Coefficients.</param>
/// <param name="st">Sub title.</param>
/// <param name="plotOptions">The plotting options.</param>
public static void PlotResults(
int numBases, int signalWidth,
Gaussian[][] dictionary, Gaussian[][] coefficients,
string st, PlotOptions plotOptions)
{
var subplots = new Subplots
{
ShareX = true,
ShareY = true,
Rows = numBases < 16 ? numBases : 4,
Columns = numBases < 16 ? 1 : 4
};
plotOptions.Dictionary.Subplots = subplots;
plotOptions.Dictionary.NumToShow = plotOptions.IsImage ? 1 : Math.Min(numBases, 16);
if (plotOptions.IsImage)
{
PlotImages(dictionary, signalWidth, "Dictionary", plotOptions.Dictionary);
}
else
{
PlotPosteriors(dictionary, "Dictionary", st, plotOptions.Dictionary);
}
if (coefficients == null)
{
return;
}
subplots.Rows = 3;
subplots.Columns = 2;
plotOptions.Coefficients.NumToShow = 6;
plotOptions.Coefficients.Subplots = subplots;
PlotPosteriors(coefficients, "Coefficients", st, plotOptions.Coefficients);
}
public bool Equals([AllowNull] Grid other)
{
if (other == null)
{
return(false);
}
if (ReferenceEquals(this, other))
{
return(true);
}
return((Rows == other.Rows && Rows != null && other.Rows != null && Rows.Equals(other.Rows)) &&
(RowOrder == other.RowOrder && RowOrder != null && other.RowOrder != null && RowOrder.Equals(other.RowOrder)) &&
(Columns == other.Columns && Columns != null && other.Columns != null && Columns.Equals(other.Columns)) &&
(Equals(Subplots, other.Subplots) || Subplots != null && other.Subplots != null && Subplots.SequenceEqual(other.Subplots)) &&
(Equals(XAxes, other.XAxes) || XAxes != null && other.XAxes != null && XAxes.SequenceEqual(other.XAxes)) &&
(Equals(YAxes, other.YAxes) || YAxes != null && other.YAxes != null && YAxes.SequenceEqual(other.YAxes)) &&
(Pattern == other.Pattern && Pattern != null && other.Pattern != null && Pattern.Equals(other.Pattern)) &&
(XGap == other.XGap && XGap != null && other.XGap != null && XGap.Equals(other.XGap)) &&
(YGap == other.YGap && YGap != null && other.YGap != null && YGap.Equals(other.YGap)) &&
(Domain == other.Domain && Domain != null && other.Domain != null && Domain.Equals(other.Domain)) &&
(XSide == other.XSide && XSide != null && other.XSide != null && XSide.Equals(other.XSide)) &&
(YSide == other.YSide && YSide != null && other.YSide != null && YSide.Equals(other.YSide)));
}
