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re: Code-free machine learning with Ludwig VIEW POST

FULL DISCUSSION
 

Chris
I'm trying to redo your example but the CSV seems to have constraints which I cannot find.
Firstly I saw that the output feature should be the last field ( makes some sense)
I reconfigured data in the order of the YAML definiton but keep running into errors.

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indexer = self.columns.get_loc(key)
File "c:\users\uan401\appdata\local\continuum\anaconda3\envs\ludwig\lib\site-packages\pandas\core\indexes\base.py", line 2659, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas_libs\index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
File "pandas_libs\index.pyx", line 132, in pandas._libs.index.IndexEngine.get_loc
File "pandas_libs\hashtable_class_helper.pxi", line 1601, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas_libs\hashtable_class_helper.pxi", line 1608, in pandas._libs.hashtable.PyObjectHashTable.get_item

KeyError: 'Cylinders'

removed some data with missing values but same results.

What is the structure you are using ( 4-line example??)

 

my example data
8\307.0\130.0\3504.\12.0\70\1\18.0
8\350.0\165.0\3693.\11.5\70\1\15.0
8\318.0\150.0\3436.\11.0\70\1\18.0
8\304.0\150.0\3433.\12.0\70\1\16.0

NB df = pandas.read_csv("autos3.csv",header=None, sep='\')
works fine with my data (\ is a double \ )

 

Hi. Have you had a look at the colab notebook in the previous comment? That runs end to end including the little bit of fiddling with the data

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