From a0e5f31e9f3ebb05ae3227073ff4797efb5b1127 Mon Sep 17 00:00:00 2001
From: Damien Lancry <31038265+damienlancry@users.noreply.github.com>
Date: Wed, 21 Oct 2020 17:41:28 +0800
Subject: [PATCH] typo in the formula of alpha

there is either a mistake at this line or later in the code
```
alpha = len(X_training)/len(X_raw)
```
---
 docs/source/content/query_strategies/ranked_batch_mode.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/source/content/query_strategies/ranked_batch_mode.ipynb b/docs/source/content/query_strategies/ranked_batch_mode.ipynb
index c8fe902..19f3be3 100644
--- a/docs/source/content/query_strategies/ranked_batch_mode.ipynb
+++ b/docs/source/content/query_strategies/ranked_batch_mode.ipynb
@@ -18,7 +18,7 @@
     "\n",
     "$$score = \\alpha(1 - \\Phi(x, X_{labeled})) + (1 - \\alpha) U(x),$$\n",
     "\n",
-    "where $\\alpha = \\frac{|X_{unlabeled}|}{|X_{unlabeled}| + |X_{labeled}|}$, $X_{labeled}$ is the labeled dataset, $U(x)$ is the uncertainty of predictions for $x$, and $\\Phi$ is a so-called similarity function, for instance [cosine similarity](https://en.wikipedia.org/wiki/Cosine_similarity). This latter function measures how well the feature space is explored near $x$. (The lower the better.)\n",
+    "where $\\alpha = \\frac{|X_{labeled}|}{|X_{unlabeled}| + |X_{labeled}|}$, $X_{labeled}$ is the labeled dataset, $U(x)$ is the uncertainty of predictions for $x$, and $\\Phi$ is a so-called similarity function, for instance [cosine similarity](https://en.wikipedia.org/wiki/Cosine_similarity). This latter function measures how well the feature space is explored near $x$. (The lower the better.)\n",
     "\n",
     "After scoring, the highest scored instance is put at the top of a list. The instance is removed from the pool and the score is recalculated until the desired amount of instances are selected."
    ]