Error in sparse matrix

Ashu1318 · April 18, 2021, 5:05pm

0013am/data-science/blob/main/ERR/Movie.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {

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sir i m getting an error in fit method of ann may be its about sparse matrix how to remove this plz check it once

Aayushkh_333 · April 18, 2021, 6:29pm

Hey @Ashu1318, by convention, indices should be sorted in row-major order (or equivalently
lexicographic order on the tuples indices[i]). This is not enforced when
SparseTensor objects are constructed, but most ops assume correct ordering. If
the ordering of sparse tensor st is wrong, a fixed version can be obtained by
calling [tf.sparse.reorder(st)].
So, using either tf.sparse.reorder or scipy.sort_indices on the matrices, x_t, x_val, y_t, y_val , before the line of code,

hist=model.fit(x_t,y_t,batch_size=128,epochs=5,validation_data=(x_val,y_val))

will resolve the issue.

I hope this helps !
Happy Learning !

Ashu1318 · May 2, 2021, 6:04am

sir i have tried both methods but cant get rid of this error,can u plz edit my code and send me link of your updated code

Aayushkh_333 · May 10, 2021, 5:41pm

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Ashu1318 · May 16, 2021, 5:13pm

im using bert transformer for this task and got some error could u plz resolve this here is my code link ->>> https://github.com/0013am/data-science/blob/main/ERR/Movie%20(1).ipynb