### changeset 1:389227fa1864draftdefaulttip

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/plotly_regression_performance_plots commit 2473a53fde6d8e646e90d2a5201999c8c6a48695
author bgruening Wed, 09 Jan 2019 02:55:46 -0500 0800a1b66bbd plot_regression_performance.py test-data/output_scatter_plot_gtbr.html 2 files changed, 14 insertions(+), 7 deletions(-) [+]
line wrap: on
line diff
```--- a/plot_regression_performance.py	Thu Nov 08 13:28:04 2018 -0500
+++ b/plot_regression_performance.py	Wed Jan 09 02:55:46 2019 -0500
@@ -1,5 +1,6 @@
import argparse
import pandas as pd
+import numpy as np
import plotly
import plotly.graph_objs as go

@@ -47,6 +48,12 @@
max_tv = int(max(true_values))
x_y_values = list(range(0, max_tv))

+    true_mean = np.mean(true_values)
+    res_true_predicted = np.sum((true_values - predicted_values) ** 2)
+    res_total = np.sum((true_values - true_mean) ** 2)
+    r2 = 1 - (res_true_predicted / float(res_total))
+    rmse = np.sqrt(np.mean([(x - y) ** 2 for x, y in zip(true_values, predicted_values)]))
+
trace_x_eq_y = go.Scatter(
x=x_y_values,
y=x_y_values,
@@ -62,7 +69,7 @@
)

layout_true_pred = go.Layout(
-        title='True vs predicted values',
+        title='True vs predicted values (RMSE: %s, R2: %s)' % (str(np.round(rmse, 2)), str(np.round(r2, 2))),
xaxis=dict(title='True values'),
yaxis=dict(title='Predicted values')
)```
```--- a/test-data/output_scatter_plot_gtbr.html	Thu Nov 08 13:28:04 2018 -0500
+++ b/test-data/output_scatter_plot_gtbr.html	Wed Jan 09 02:55:46 2019 -0500
@@ -4,11 +4,11 @@