🎨 Update plots from pymc to arviz dependencies & replace param sd with sigma

Author: CloudChaoszero

examples/variational_inference/GLM-hierarchical-advi-minibatch.ipynb

@@ -439,7 +439,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",

examples/variational_inference/bayesian_neural_network_advi.ipynb

@@ -78,6 +78,7 @@
    "source": [
     "from warnings import filterwarnings\n",
     "\n",
+    "import arviz as az\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pymc3 as pm\n",
@@ -787,7 +788,7 @@
     }
    ],
    "source": [
-    "pm.traceplot(trace);"
+    "az.plot_trace(trace);"
    ]
   },
   {
@@ -861,7 +862,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",

examples/variational_inference/convolutional_vae_keras_advi.ipynb

@@ -736,7 +736,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.8.5"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",

examples/variational_inference/empirical-approx-overview.ipynb

@@ -1002,7 +1002,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",

examples/variational_inference/gaussian-mixture-model-advi.ipynb

@@ -824,7 +824,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.8"
+   "version": "3.8.5"
   },
   "latex_envs": {
    "bibliofile": "biblio.bib",

examples/variational_inference/lda-advi-aevb.ipynb

@@ -1280,7 +1280,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

examples/variational_inference/normalizing_flows_overview.ipynb

@@ -25,6 +25,7 @@
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
+    "import arviz as az\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pymc3 as pm\n",
@@ -164,7 +165,7 @@
     }
    ],
    "source": [
-    "pm.traceplot(trace);"
+    "az.plot_trace(trace);"
    ]
   },
   {
@@ -272,7 +273,7 @@
     }
    ],
    "source": [
-    "pm.plot_posterior(mean_field.sample(1000), color=\"LightSeaGreen\");"
+    "az.plot_posterior(mean_field.sample(1000), color=\"LightSeaGreen\");"
    ]
   },
   {
@@ -1307,7 +1308,7 @@
     }
    ],
    "source": [
-    "pm.plot_posterior(trace_approx.sample(10000));"
+    "az.plot_posterior(trace_approx.sample(10000));"
    ]
   },
   {
@@ -2108,9 +2109,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python (PyMC3 Dev)",
    "language": "python",
-   "name": "python3"
+   "name": "pymc3-dev"
   },
   "language_info": {
    "codemirror_mode": {
@@ -2122,7 +2123,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,