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Added Decision Tree Learner example to learning.ipynb. by aswanipranjal · Pull Request #686 · aimacode/aima-python · GitHub

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Added Decision Tree Learner example to learning.ipynb. #686

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Merged
norvig merged 2 commits into from
Jan 22, 2018
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Added Decision Tree Learner example to learning.ipynb. #686

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4d2c8d9
added example for Decision Tree Learner
aswanipranjal Jan 12, 2018
20b0da7
fixed docstring in learning.py and description in learning.ipynb
aswanipranjal Jan 12, 2018
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40 changes: 38 additions & 2 deletions learning.ipynb
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Expand Up @@ -124,7 +124,7 @@
"\n",
"* **examples**: Holds the items of the dataset. Each item is a list of values.\n",
"\n",
"* **attrs**: The indexes of the features (by default in the range of [0,f), where *f* is the number of features. For example, `item[i]` returns the feature at index *i* of *item*.\n",
"* **attrs**: The indexes of the features (by default in the range of [0,f), where *f* is the number of features). For example, `item[i]` returns the feature at index *i* of *item*.\n",
"\n",
"* **attrnames**: An optional list with attribute names. For example, `item[s]`, where *s* is a feature name, returns the feature of name *s* in *item*.\n",
"\n",
Expand Down Expand Up @@ -1072,6 +1072,42 @@
"</ol>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Example\n",
"\n",
"We will now use the Decision Tree Learner to classify a sample with values: 5.1, 3.0, 1.1, 0.1."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"setosa\n"
]
}
],
"source": [
"iris = DataSet(name=\"iris\")\n",
"\n",
"DTL = DecisionTreeLearner(iris)\n",
"print(DTL([5.1, 3.0, 1.1, 0.1]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As expected, the Decision Tree learner classifies the sample as \"setosa\" as seen in the previous section."
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down Expand Up @@ -1760,7 +1796,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.3"
"version": "3.6.3"
}
},
"nbformat": 4,
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2 changes: 1 addition & 1 deletion learning.py
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Expand Up @@ -542,7 +542,7 @@ def plurality_value(examples):
return DecisionLeaf(popular)

def count(attr, val, examples):
"""Count the number of examples that have attr = val."""
"""Count the number of examples that have example[attr] = val."""
return sum(e[attr] == val for e in examples)

def all_same_class(examples):
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