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6 changes: 3 additions & 3 deletions dodgers.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -2529,7 +2529,7 @@
"source": [
"For convenience, we have built a wrapper around tsfresh.\n",
"\n",
"As we have discussed in a [different notebook](https://nbviewer.jupyter.org/github/getml/getml-demo/blob/master/air_pollution_demo.ipynb), tsfresh consumes a lot of memory. To limit the memory consumption to a feasible level, we only use tsfresh's MinimalFCParameters and IndexBasedFCParameters, which are a superset of the TimeBasedFCParameters."
"As we have discussed in a [different notebook](https://getml.com/latest/examples/enterprise-notebooks/air_pollution), tsfresh consumes a lot of memory. To limit the memory consumption to a feasible level, we only use tsfresh's MinimalFCParameters and IndexBasedFCParameters, which are a superset of the TimeBasedFCParameters."
]
},
{
Expand Down Expand Up @@ -6484,7 +6484,7 @@
"\n",
"We have compared getML's feature learning algorithms to Prophet and tsfresh on a data set related to traffic on LA's 101 North freeway. We found that getML significantly outperforms both Prophet and tsfresh. These results are consistent with the view that relational learning is a powerful tool for time series analysis.\n",
"\n",
"You are encouraged to reproduce these results. You will need [getML](https://getml.com) to do so. You can download it for free."
"You are encouraged to reproduce these results. You will need [getML Enterprise](https://getml.com/latest/enterprise/) to do so. You can download the trial version for free."
]
}
],
Expand All @@ -6508,7 +6508,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.11.9"
},
"toc": {
"base_numbering": 1,
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2 changes: 1 addition & 1 deletion occupancy.ipynb
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Expand Up @@ -4501,4 +4501,4 @@
},
"nbformat": 4,
"nbformat_minor": 4
}
}