deploy: a45112b

Author: gtfierro

_sources/tutorials/model_exploration.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "60e11f15",
+   "id": "2ff95957",
    "metadata": {},
    "source": [
     "# Model Exploration\n",
@@ -23,7 +23,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "c5935926",
+   "id": "8533f950",
    "metadata": {},
    "outputs": [
     {
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4e55f2c7",
+   "id": "9d25ed14",
    "metadata": {},
    "source": [
     "Next, we'll explore the model's size by printing the number of triples in it."
@@ -70,7 +70,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8cdbe1a0",
+   "id": "92cc5349",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "43ebc3aa",
+   "id": "af087b90",
    "metadata": {},
    "source": [
     "Finally, we'll print the contents of the model since it's not that large."
@@ -89,7 +89,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0f2cb010",
+   "id": "7104e75c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "393c0aac",
+   "id": "325c45a1",
    "metadata": {},
    "source": [
     "## Model Querying\n",
@@ -114,7 +114,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bd8cebd1",
+   "id": "04c54f4c",
    "metadata": {},
    "outputs": [],
    "source": [

_sources/tutorials/model_inference.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "0692f986",
+   "id": "601f7a62",
    "metadata": {},
    "source": [
     "(model-inference)=\n",
@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "7e036561",
+   "id": "0cfe03e6",
    "metadata": {},
    "outputs": [
     {
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "92aef00d",
+   "id": "c396383f",
    "metadata": {},
    "source": [
     "<details>\n",
@@ -82,7 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "95d826b5",
+   "id": "e374b2c2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "077305bb",
+   "id": "39fab9a2",
    "metadata": {},
    "source": [
     "</details>\n",
@@ -105,7 +105,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "80ac8bc4",
+   "id": "3fa2ee2b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -123,7 +123,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b62f1a95",
+   "id": "d3044c6c",
    "metadata": {},
    "source": [
     "## Loading the 223 Ontology\n",
@@ -137,7 +137,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c49410e6",
+   "id": "924c6b67",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -150,7 +150,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "96eea3ae",
+   "id": "0262c945",
    "metadata": {},
    "source": [
     "## Applying Inference Rules\n",
@@ -167,7 +167,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1e15f34e",
+   "id": "0edb0bde",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -194,7 +194,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4151e7a7",
+   "id": "a6a6e54e",
    "metadata": {},
    "source": [
     "This may take a few minutes to run, depending on the size of your model.\n",
@@ -216,7 +216,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d826d5d5",
+   "id": "98ec8f17",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b9e82265",
+   "id": "e3a7c124",
    "metadata": {},
    "source": [
     "</details>\n",
@@ -239,7 +239,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "913a2079",
+   "id": "6e269e86",
    "metadata": {},
    "outputs": [],
    "source": [