Merge pull request #44 from Lanayx/patch-1

NiklasGustafsson · web-flow · commit 7a876cdd6282 · 2023-06-25T12:58:24.000-07:00
Update tutorial4.ipynb - fix typo
diff --git a/tutorials/CSharp/tutorial4.ipynb b/tutorials/CSharp/tutorial4.ipynb
@@ -218,7 +218,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There's a class corresponding to 'Binomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."
+    "There's a class corresponding to 'Multinomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."
    ]
   },
   {
diff --git a/tutorials/FSharp/tutorial4.ipynb b/tutorials/FSharp/tutorial4.ipynb
@@ -216,7 +216,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There's a class corresponding to 'Binomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."
+    "There's a class corresponding to 'Multinomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -218,7 +218,7 @@`
`218`	`218`	`"cell_type": "markdown",`
`219`	`219`	`"metadata": {},`
`220`	`220`	`"source": [`
`221`		`- "There's a class corresponding to 'Binomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."`
	`221`	`+ "There's a class corresponding to 'Multinomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."`
`222`	`222`	`]`
`223`	`223`	`},`
`224`	`224`	`{`
Original file line number	Diff line number	Diff line change
`@@ -216,7 +216,7 @@`
`216`	`216`	`"cell_type": "markdown",`
`217`	`217`	`"metadata": {},`
`218`	`218`	`"source": [`
`219`		`- "There's a class corresponding to 'Binomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the category. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."`
	`219`	`+ "There's a class corresponding to 'Multinomial' for categorical distributions. Here, the category is denoted by the index into the tensor. For sample sizes of at least one dimension, the innermost dimension (the last index) representes the cat 47EC egory. In other words, each row is a sample, each column is a category. The value in each cell is how many times (out of the total count specified) that the category was selected."`
`220`	`220`	`]`
`221`	`221`	`},`
`222`	`222`	`{`