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Fix typo, use log10 as specified in axis labels. #890

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mfeurer merged 1 commit into from
Nov 27, 2019
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Fix typo, use log10 as specified in axis labels. #890

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Fix typo, use log10 as specified in axis labels.
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@PGijsbers
PGijsbers committed Nov 26, 2019
commit c710a3e2c9dd3a3c35bb67ef20fe6c7ea9555bcc
4 changes: 2 additions & 2 deletions examples/30_extended/plot_svm_hyperparameters_tutorial.py
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Expand Up @@ -12,7 +12,7 @@
####################################################################################################
# First step - obtaining the data
# ===============================
# First, we nood to choose an SVM flow, for example 8353, and a task. Finding the IDs of them are
# First, we need to choose an SVM flow, for example 8353, and a task. Finding the IDs of them are
# not part of this tutorial, this could for example be done via the website.
#
# For this we use the function ``list_evaluations_setup`` which can automatically join
Expand All @@ -38,7 +38,7 @@
# Next, we cast and transform the hyperparameters of interest (``C`` and ``gamma``) so that we
# can nicely plot them.
hyperparameters = ['sklearn.svm.classes.SVC(16)_C', 'sklearn.svm.classes.SVC(16)_gamma']
df[hyperparameters] = df[hyperparameters].astype(float).apply(np.log)
df[hyperparameters] = df[hyperparameters].astype(float).apply(np.log10)

####################################################################################################
# Option 1 - plotting via the pandas helper functions
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