diff --git a/molsim_ml.ipynb b/molsim_ml.ipynb
index 6498ef6..52401f7 100644
--- a/molsim_ml.ipynb
+++ b/molsim_ml.ipynb
@@ -24,7 +24,9 @@
"At the end of the exercise, you will produce an interactive plot like the one below, comparing the predictions of your model against CO$_2$ computed with GCMC simulations.\n",
"The histograms show the distributions of the errors on the training set (left) and on the test set (right).\n",
"\n",
- "![Parity interactive](_static/result.gif)\n",
+ "\n",
+ "\n",
+ "\n",
"\n",
"This exercise requires a basic knowledge of Python, e.g. that you can write list comprehensions, and are able to read documentation of functions provided by Python packages.\n",
"You will be asked to provide some function arguments (indicated by `#fillme` comments).\n",
@@ -40,7 +42,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "## -1. Only if you run on Colab"
+ "## -1. Only if you run this notebook on Colab"
]
},
{
@@ -1727,7 +1729,7 @@
" Click here for a hint
\n",
"\n",
- "
\n",
"pd.options.display.max_columns=10
to adjust how many columns are shown.pd.options.display.max_columns=100
to adjust how many columns are shown.
a
, you can use np.argsort(a)[-n:]
FEATURES
list np.array(FEATURES)[np.argsort(a)[-n:]]