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🎨 Update plots from pymc to arviz dependencies & replace param sd with sigma
1 parent 0975dfb commit db1afed

20 files changed

+1064
-1094
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‎examples/gaussian_processes/GP-Circular.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "pymc3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "pymc3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.6"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-Kron.ipynb

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" # Place a GP prior over the function f.\n",
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" f = gp.prior(\"f\", Xs=Xs)\n",
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"\n",
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" y_ = pm.Normal(\"y_\", mu=f, sd=sigma, observed=y)"
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" y_ = pm.Normal(\"y_\", mu=f, sigma=sigma, observed=y)"
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]
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},
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{
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}
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],
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"source": [
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"pm.traceplot(\n",
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"az.plot_trace(\n",
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" tr,\n",
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" var_names=[\"ls1\", \"ls2\", \"eta\", \"sigma\"],\n",
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" lines={\"ls1\": l1_true, \"ls2\": l2_true, \"eta\": eta_true, \"sigma\": sigma_true},\n",
@@ -562,9 +562,7 @@
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {
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"scrolled": false
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},
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-Latent.ipynb

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},
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"outputs": [],
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"source": [
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"import warnings\n",
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"\n",
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"import arviz as az\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"metadata": {},
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"outputs": [],
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"source": [
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"import warnings\n",
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"\n",
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"# mute future warnings from theano\n",
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"warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
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]
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.3"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-MaunaLoa2.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "dev-pymc",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "dev-pymc"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.11"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-MeansAndCovs.ipynb

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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.6"
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"version": "3.8.5"
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},
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"papermill": {
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"duration": 93.784947,
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

‎examples/gaussian_processes/GP-SparseApprox.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-TProcess.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.2"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/gaussian_processes/GP-smoothing.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.8.5"
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},
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"latex_envs": {
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"bibliofile": "biblio.bib",

‎examples/gaussian_processes/gaussian_process.ipynb

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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python (PyMC3 Dev)",
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"language": "python",
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"name": "python3"
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"name": "pymc3-dev"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,

‎examples/generalized_linear_models/GLM-hierarchical-binominal-model.ipynb

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‎examples/generalized_linear_models/GLM-hierarchical.ipynb

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}
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],
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"source": [
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"pm.traceplot(hierarchical_trace, var_names=[\"mu_a\", \"mu_b\", \"sigma_a\", \"sigma_b\", \"eps\"]);"
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"az.plot_trace(hierarchical_trace, var_names=[\"mu_a\", \"mu_b\", \"sigma_a\", \"sigma_b\", \"eps\"]);"
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]
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},
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{
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}
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],
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"source": [
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"pm.traceplot(hierarchical_trace, var_names=[\"a\"], coords={\"a_dim_0\": range(5)});"
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"az.plot_trace(hierarchical_trace, var_names=[\"a\"], coords={\"a_dim_0\": range(5)});"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.7"
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"version": "3.8.5"
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},
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"latex_envs": {
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"bibliofile": "biblio.bib",

‎examples/generalized_linear_models/GLM-linear.ipynb

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