Row 4344

Row ID: 4344 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 4344 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I posted something about this a few days ago and gave up on that method, and moved to the NEAT algorithm. I believe it shows the capability to learn, but at the moment it goes from making random guesses to making the same guess over and over again for all 8 tries until the species goes stagnant where it resets on extinction.

I'm using Pycharm, with the only package needed to include is neat-python, and the code has been uploaded [here](https://file.io/z1miQf4oQLCB).

I would greatly appreciate any assistance.

FieldValue
text I posted something about this a few days ago and gave up on that method, and moved to the NEAT algorithm. I believe it shows the capability to learn, but at the moment it goes from making random guesses to making the same guess over and over again for all 8 tries until the species goes stagnant where it resets on extinction. I'm using Pycharm, with the only package needed to include is neat-python, and the code has been uploaded [here](https://file.io/z1miQf4oQLCB). I would greatly appreciate…
label r/neuralnetworks
dataType post
communityName r/neuralnetworks
datetime 2024-04-08
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Raw Record

{
  "text": "I posted something about this a few days ago and gave up on that method, and moved to the NEAT algorithm.  I believe it shows the capability to learn, but at the moment it goes from making random guesses to making the same guess over and over again for all 8 tries until the species goes stagnant where it resets on extinction.\n\nI'm using Pycharm, with the only package needed to include is neat-python, and the code has been uploaded [here](https://file.io/z1miQf4oQLCB).\n\nI would greatly appreciate any assistance.",
  "label": "r/neuralnetworks",
  "dataType": "post",
  "communityName": "r/neuralnetworks",
  "datetime": "2024-04-08",
  "username_encoded": "Z0FBQUFBQm5LakwxYmVxbGRtcGQ2dUF3NTBJYWVRci1tX0V1ZWZDd1BRWWRqSWVGN0hGalQ1MzY1UWo5QWhCd1g0a2NQUE5MemxIT1ktLV80ZFF1eHJjQ09RTk5yclRUMTdkRXFwNUNPZklaejkxU2ItTEM5MjA9",
  "url_encoded": "Z0FBQUFBQm5Lak9GNTNvSzNpUmt2blg3cV9MMHRPZllrTHR2cVQ5cS1YS2pzOFY2WHRyVzNCSnE0ejZHNnBYZGNaZy16MFdDc1B1cHB6cHR0MXl0TklPV3czZjN6MS10YkNJQkRpT0prQmNhT3lxOWgyb1BmN3B5cUNrZGZISkgwZ1FXeDRnaWpPcDFSalB5cWVmd0NqWTBFOUE1REw0bXJrQ0ZiU05raVh5SjJra2kyeHVqTmNxUkU0aWkydFdGeHg1RFNZRngzMUZQQ2JRTnJRQ0s0aEdNakRCdkxmR21GUT09"
}
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