# Missing eras in tournament data

**URL:** <https://forum.numer.ai/t/missing-eras-in-tournament-data/483>\
**Category:** Tournament\
**Created:** [May 29, 2020, 12:09pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483 "2020-05-29T12:09:07Z")\
**Posts on this page:** 6\
**Page:** 1

<div class="post-metadata">

**Author:** ![correlator](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/correlator/32/3391_2.png) [@correlator](https://forum.numer.ai/u/correlator)\
**Post date:** [May 29, 2020, 12:09pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/1 "2020-05-29T12:09:07Z")

</div>

With the announcement of Validation data - 2 it was mentioned that test eras 854-899 were being replaced by val eras 197-206. However in the downloaded tournament data file test eras 853 and 900 are not present. Am I missing something here?  
@master_key

---

<div class="post-metadata">

**Author:** ![master\_key](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/master_key/32/3343_2.png) [@master\_key](https://forum.numer.ai/u/master_key)\
**Post date:** [May 29, 2020, 6:03pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/2 "2020-05-29T18:03:32Z")

</div>

This is just a difference between the time it was announced vs the implementation by the time I finished testing and launched, you’re not missing anything

---

<div class="post-metadata">

**Author:** ![ladylikelaces](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/ladylikelaces/32/448_2.png) [@ladylikelaces](https://forum.numer.ai/u/ladylikelaces)\
**Post date:** [November 15, 2020, 11:25pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/3 "2020-11-15T23:25:15Z")

</div>

AttributeError Traceback (most recent call last)  
 in ()  
1 # create a model and fit the training data (~30 sec to run)  
2 model = sklearn.linear\_model.LinearRegression()  
----\> 3 model.fit(training\_features, training\_data.target\_kazutsugi)

/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py in **getattr** (self, name)  
5137 if self.\_info\_axis.\_can\_hold\_identifiers\_and\_holds\_name(name):  
5138 return self[name]  
-\> 5139 return object. **getattribute** (self, name)  
5140  
5141 def **setattr** (self, name: str, value) -\> None:

AttributeError: ‘DataFrame’ object has no attribute ‘target\_kazutsugi’

---

<div class="post-metadata">

**Author:** ![wigglemuse](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/wigglemuse/32/3094_2.png) [@wigglemuse](https://forum.numer.ai/u/wigglemuse)\
**Post date:** [November 15, 2020, 11:43pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/4 "2020-11-15T23:43:41Z")

</div>

I think you’re behind on your announcements. The dataset this week has lost some test eras and added some validation eras. And we are using the new nomi target for scoring as of this round.

---

<div class="post-metadata">

**Author:** ![ladylikelaces](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/ladylikelaces/32/448_2.png) [@ladylikelaces](https://forum.numer.ai/u/ladylikelaces)\
**Post date:** [November 15, 2020, 11:48pm UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/5 "2020-11-15T23:48:13Z")

</div>

need more detail, please  
i’m used [https://colab.research.google.com/github/numerai/example-scripts/blob/master/making-your-first-submission-on-numerai.ipynb#scrollTo=WeAIJHaoW3VU](https://colab.research.google.com/github/numerai/example-scripts/blob/master/making-your-first-submission-on-numerai.ipynb#scrollTo=WeAIJHaoW3VU)

---

<div class="post-metadata">

**Author:** ![wigglemuse](https://yyz1.discourse-cdn.com/flex009/user_avatar/forum.numer.ai/wigglemuse/32/3094_2.png) [@wigglemuse](https://forum.numer.ai/u/wigglemuse)\
**Post date:** [November 16, 2020, 12:34am UTC](https://forum.numer.ai/t/missing-eras-in-tournament-data/483/6 "2020-11-16T00:34:18Z")

</div>

There is a new target:

> [@New Target Nomi Release](http://forum.numer.ai/t/new-target-nomi-release/959):
>
> We are releasing today a new target, target\_nomi, that you can optionally use to train your models. You should still submit predictions in the same exact way as before but just using the outputs of the newly trained model. Fundamentally, this target represents the same thing as target\_kazutsugi, but just a bit more faithfully. Consequently, it is compatible with target\_kazutsugi and we will continue scoring using target\_kazutsugi for the time being. We will give plenty of warning before we event…

So no more kazutsgui.

6 new validation eras have been added this week. At the same time, test eras 901-926 have been removed (they cover the same period).

Are you on rocketchat? See:  
[https://community.numer.ai/channel/announcements](https://community.numer.ai/channel/announcements)

If you are just finding out about this now, I’m not sure what has to be adjusted in your pipeline, etc, but there are changes!
