Compatibility with Python 3.8

chrislemke · Nov 8, 2022 · c3886e7 · c3886e7
1 parent c2e82be
commit c3886e7
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Showing 4 changed files with 137 additions and 108 deletions.
diff --git a/example.ipynb b/example.ipynb
@@ -184,6 +184,13 @@
     "# Autoembedder"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Read data and split by target"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -317,7 +324,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Everything is set up. Now we can [fit](https://chrislemke.github.io/autoembedder/autoembedder.learner/#autoembedder.learner.fit) the model. Since we are also passing data for evaluation (`eval_df`), after the model is fitted it will be evaluated. \n",
+    "Everything is set up. Now we can [fit](https://chrislemke.github.io/autoembedder/autoembedder.learner/#autoembedder.learner.fit) the model. Since we are also passing data for [evaluation](https://chrislemke.github.io/autoembedder/autoembedder.evaluator/#autoembedder.evaluator.loss_delta) (`eval_df`), after the model is fitted it will be evaluated. \n",
     "`mean loss delta` and `median loss delta` express the differences between the mean/median loss of the `Class` `0` and `Class` `1` samples. A higher value indicates that the model is able to distinguish between the two classes."
    ]
   },

diff --git a/poetry.lock b/poetry.lock
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "Autoembedder"
-version = "0.1.10"
+version = "0.1.11"
 description = "PyTorch autoencoder with additional embeddings layer for categorical data."
 authors = ["Christopher Lemke <chris@syhbl.mozmail.com>"]
 license = "MIT"
@@ -25,7 +25,7 @@ keywords = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.11"
+python = ">=3.8,<3.11"
 dask = "2022.10.2"
 pyarrow = "10.0.0"
 pandas = "1.5.1"