Fix hyperparam training
This commit is contained in:
parent
ff58efb398
commit
94ca84b4cd
|
@ -0,0 +1,3 @@
|
|||
{
|
||||
"python.formatting.provider": "black"
|
||||
}
|
|
@ -5620,3 +5620,4 @@ spam If you have a Gmail account, a computer or a smartphone and you have 2 hour
|
|||
spam I'll help the community how to earn $30k within 3 days and hours but you will reimburse me 10% of your dividend when you collect it. Note: only interested people should involve, Whatsapp +1 (561) 788 1421 immediately
|
||||
spam Win up to $1000 in crypto trading when you invest with just the minimum of $50 Signup and start investing your crypto with. 💎NO STRESS 💎NO REFERRAL NEEDED!! 💎NO REGISTRATION FEE!!
|
||||
spam If you love to earn from #BITCOIN try GTFx only interested persons No KYC, no VPN + 30+ $BTC daily withdraws (without KYC) $5,000 DEPOSIT BONUS👇
|
||||
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```
|
Can't render this file because it contains an unexpected character in line 68 and column 14.
|
|
@ -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')}.
|
||||
"""
|
||||
)
|
||||
|
||||
|
|
Loading…
Reference in New Issue