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Small doc fixes
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B-Deforce authored Oct 17, 2024
1 parent 8cfdcfa commit 3909c51
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6 changes: 2 additions & 4 deletions docs/examples/azcausal.ipynb
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{
"cell_type": "markdown",
"id": "9",
"metadata": {
"title": "As before, we may now go about estimating the treatment. However, this"
},
"metadata": {},
"source": [
"time we see that the delta between the estaimted and true effect is much larger than\n",
"As before, we may now go about estimating the treatment. However, this time we see that the delta between the estimated and true effect is much larger than\n",
"before."
]
},
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8 changes: 3 additions & 5 deletions docs/examples/basic.ipynb
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{
"cell_type": "markdown",
"id": "3",
"metadata": {
"title": "Simulating a dataset is as simple as specifying a `Config` object and"
},
"metadata": {},
"source": [
"then invoking the `simulate` function. Once simulated, we may visualise the data\n",
"Simulating a dataset is as simple as specifying a `Config` object and then invoking the `simulate` function. Once simulated, we may visualise the data\n",
"through the `plot` function."
]
},
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"variation. In a follow-up notebook, we show how these datasets may be integrated with\n",
"Amazon's own AZCausal library to compare the effect estimated by a model with the true\n",
"effect of the underlying data generating process. A link to this notebook is\n",
"[here](http://localhost:9998/causal-validation/examples/azcausal/)."
"[here](https://amazon-science.github.io/causal-validation/examples/azcausal/)."
]
}
],
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16 changes: 0 additions & 16 deletions docs/examples/placebo_test.ipynb
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"datasets = DatasetContainer([data, complex_data], names=[\"Simple\", \"Complex\"])\n",
"PlaceboTest([model, did_model], datasets).execute().summary()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "14",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"id": "15",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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