Yes, you are right.
2016-05-30 2:34 GMT-07:00 Abhishek Anand :
>
> Thanks Yanbo.
>
> So, you mean that if I have a variable which is of type double but I want
> to treat it like String in my model I just have to cast those columns into
> string and simply run the glm model. String columns will be
Thanks Yanbo.
So, you mean that if I have a variable which is of type double but I want
to treat it like String in my model I just have to cast those columns into
string and simply run the glm model. String columns will be directly
one-hot encoded by the glm provided by sparkR ?
Just wanted to cl
Hi Abhi,
In SparkR glm, category features (columns of type string) will be one-hot
encoded automatically.
So pre-processing like `as.factor` is not necessary, you can directly feed
your data to the model training.
Thanks
Yanbo
2016-05-30 2:06 GMT-07:00 Abhishek Anand :
> Hi ,
>
> I want to run
Hi ,
I want to run glm variant of sparkR for my data that is there in a csv file.
I see that the glm function in sparkR takes a spark dataframe as input.
Now, when I read a file from csv and create a spark dataframe, how could I
take care of the factor variables/columns in my data ?
Do I need t
