On Mon, Jul 29, 2013 at 12:19 AM, Ross Boucher <[email protected]> wrote:
> Interesting, I've been using DictVectorizer (and one hot coded categorical
> data) with Random Forests and getting decent results. Is this just
> coincidental, and will I see better results if I combine the categorical
> data into a single column?
>
>
Can you give me a sample example of DictVectorizer and RandomForest usage?
What i do is reading a csv file line by line:
train = csv_io.read_data(train_file)
#set the training responses
self.target = [x[0] for x in train]
#set the training features
self.train = [x[1:] for x in train]
and csv_io.read_data is
for line in f:
sample = []
line = line.strip().split(",")
for x in line:
try:
sample.append(float(x))
except ValueError:
sample.append(str(x))
samples.append(sample)
#sample = [float(x) for x in line]
#samples.append(sample)
return samples
How will i use DictVectorizer for string values above?
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