Skip to content

Added demo for json file roundtrip #111

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Nov 11, 2024
Merged

Added demo for json file roundtrip #111

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
79 changes: 79 additions & 0 deletions demo/notebooks/serialization.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
Expand Down Expand Up @@ -242,6 +243,84 @@
"plt.axline((0, 0), slope=1, color=\"black\", linestyle=(0, (3,3)))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Save to JSON file"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open('bart.json', 'w') as f:\n",
" bart_json_python = json.loads(bart_json_string)\n",
" json.dump(bart_json_python, f)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Reload from JSON file"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open('bart.json', 'r') as f:\n",
" bart_json_python_reload = json.load(f)\n",
"bart_json_string_reload = json.dumps(bart_json_python_reload)\n",
"bart_model_file_deserialized = BARTModel()\n",
"bart_model_file_deserialized.from_json(bart_json_string_reload)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compare predictions"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"y_hat_file_deserialized = bart_model_file_deserialized.predict(X_test, basis_test)\n",
"y_avg_mcmc_file_deserialized = np.squeeze(y_hat_file_deserialized).mean(axis = 1, keepdims = True)\n",
"y_df = pd.DataFrame(np.concatenate((y_avg_mcmc, y_avg_mcmc_file_deserialized), axis = 1), columns=[\"Original model\", \"Deserialized model\"])\n",
"sns.scatterplot(data=y_df, x=\"Original model\", y=\"Deserialized model\")\n",
"plt.axline((0, 0), slope=1, color=\"black\", linestyle=(0, (3,3)))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compare parameter samples"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sigma2_df = pd.DataFrame(np.c_[bart_model.global_var_samples, bart_model_file_deserialized.global_var_samples], columns=[\"Original model\", \"Deserialized model\"])\n",
"sns.scatterplot(data=sigma2_df, x=\"Original model\", y=\"Deserialized model\")\n",
"plt.axline((0, 0), slope=1, color=\"black\", linestyle=(0, (3,3)))\n",
"plt.show()"
]
}
],
"metadata": {
Expand Down