Validating & Executing the Pipeline

validating-and-executing-the-pipeline.ipynb

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    "We can check that we have defined a valid pipeline."
   ]
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     "text": [
      "Is pipeline valid? True\n"
     ]
    }
   ],
   "source": [
    "valid = p.validate()\n",
    "print('Is pipeline valid? %s' % valid)"
   ]
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   "source": [
    "Next, we execute the pipeline."
   ]
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline processed 38010 points.\n"
     ]
    }
   ],
   "source": [
    "count = p.execute()\n",
    "print('Pipeline processed %d points.' % count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pipeline contains 1 array(s) of type <type 'numpy.ndarray'>.\n"
     ]
    }
   ],
   "source": [
    "arr = p.arrays[0]\n",
    "print('Pipeline contains %d array(s) of type %s.' % (len(p.arrays), type(arr)))"
   ]
  }
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