commit 94ca84b4cd7e3c4374f499a906a0bce4c0c338d7
parent ff58efb39835caea8c9f63529ad83a0f0603c291
Author: MTRNord <mtrnord1@gmail.com>
Date: Tue, 6 Dec 2022 19:50:42 +0100
Fix hyperparam training
Diffstat:
3 files changed, 6 insertions(+), 1 deletion(-)
diff --git a/.vscode/settings.json b/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+ "python.formatting.provider": "black"
+}
+\ No newline at end of file
diff --git a/input/MatrixData.tsv b/input/MatrixData.tsv
@@ -5620,3 +5620,4 @@ spam If you have a Gmail account, a computer or a smartphone and you have 2 hour
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+ham set_many_ordered_items takes an argument that is an iterator of types that implement `Into<AnyBase>`\nAll activitystreams types implement the Extends and ExtendsExt traits, which provide the `into_any_base` method, so you could write something like this:\n\n```rust\nlet v = items\n .into_iter()\n .map(|item| item.into_any_base())\n .collect::<Result<Vec<_>,_>>()?;\ncollection.set_many_ordered_items(v);\n```
+\ No newline at end of file
diff --git a/model_v2.py b/model_v2.py
@@ -195,7 +195,6 @@ def train_hyperparamters(
The hyperparameter search is complete. The optimal number of units in the first densely-connected
layer is {best_hps.get('dense1')} and the optimal learning rate for the optimizer is {best_hps.get('learning_rate')}.
The optimal dropout rate is {best_hps.get('dropout')} and the optimal l2 rate is {best_hps.get('l2')}.
- The optimal embedding_dim is {best_hps.get('embedding_dim')}.
"""
)