Fast AI V1 on Kaggle Kernels now, but `torch` not compatible

SHAR1 · October 12, 2018, 10:50pm

I’m facing the same issue. @bhollan please update here if you have managed to send a PR and solve it… Even on google colab, fastai 0.7 is throwing up tensor float32 error. Unfortunately, I have updated my laptop to fastai 1.0. Kaggle is my only hope left.

Looks like fastai 1.0 dosent have ColumnarModelData, it’s changed to ColabFilteringDataset. I think I’ve to port the class definition into a cell and make sure its pytorchy 0.4.

github.com

fastai/fastai_old/blob/master/dev_nb/008_movie_lens.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#export\n",
    "from nb_007a import *\n",

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I using this notebook as a reference,a getting Can only use .cat accessor with a 'category' dtype as the error while spiting into input pandas frame into train_ds and val_ds.

This helped me out … Kaggle kernel error - ModuleNotFound error importing 'fastai.structured'