Row 8865
Content Data
This page contains data entry 8865 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
So I did go-a reading and it seems like this was an answer to my "problem" but not to the question I was asking. Even in the queue models, I would need a way to assign a time to the tasks, which are not uniform. They follow a right-skewed distribution. Which I would still need to sample from. But am kindof stuck at "do I impose a curve?" "do I impose a NORMAL curve?" "do I just take values from the real set?" "assign based on percentiles?" "Something else?"
This does streamline actually building the model though, and is essentially what I was going to do from scratch.
| Field | Value |
|---|---|
| text | So I did go-a reading and it seems like this was an answer to my "problem" but not to the question I was asking. Even in the queue models, I would need a way to assign a time to the tasks, which are not uniform. They follow a right-skewed distribution. Which I would still need to sample from. But am kindof stuck at "do I impose a curve?" "do I impose a NORMAL curve?" "do I just take values from the real set?" "assign based on percentiles?" "Something else?" This does streamline actually buildin… |
| label | r/datascience |
| dataType | comment |
| communityName | r/datascience |
| datetime | 2024-05-20 |
| username_encoded | Z0FBQUFBQm5Lakw0TDkycUx0SkJuS0VBT2U2eVlZRVlselUyMWxUZEk4WS1aWno5b0daeHQwNUIxblZDckRLSVpyeU9EQVN3ME9qY1VHX2d4Yzh3VnhDcGphRDVPbVFRNC1HcFU4eVFaczZ5dWh1YXNGR3ZZWVk9 |
| url_encoded | Z0FBQUFBQm5Lak9IMS1MTEkyZEs2dmZPN3dkcVVwdC1yYWREdFQtRUhtd2FiLVdTSHpHT3JVS0JxNnVpTFZaaUVKaVhzNW5FYV9Fb0N5SjlyRkczXzQ4UnJVdHhoX2tUMTRMUndPSUU0VUxsMFIwRzdUS094d25ER3NCd2NpQUVzcDBNaWYyb1FmSHJoSjFMWUJpazhwQWR5N2pKRmZYZm1qQmF0M1dtUjVNQlZkSE9IaUdrMFRMWGxzT25kRFMzZmoxeWhDOElndUhJT3JWZ2VFNEdYMmoxMkdNODhKZGRjQT09 |
Raw Record
{
"text": "So I did go-a reading and it seems like this was an answer to my \"problem\" but not to the question I was asking. Even in the queue models, I would need a way to assign a time to the tasks, which are not uniform. They follow a right-skewed distribution. Which I would still need to sample from. But am kindof stuck at \"do I impose a curve?\" \"do I impose a NORMAL curve?\" \"do I just take values from the real set?\" \"assign based on percentiles?\" \"Something else?\"\n\nThis does streamline actually building the model though, and is essentially what I was going to do from scratch.",
"label": "r/datascience",
"dataType": "comment",
"communityName": "r/datascience",
"datetime": "2024-05-20",
"username_encoded": "Z0FBQUFBQm5Lakw0TDkycUx0SkJuS0VBT2U2eVlZRVlselUyMWxUZEk4WS1aWno5b0daeHQwNUIxblZDckRLSVpyeU9EQVN3ME9qY1VHX2d4Yzh3VnhDcGphRDVPbVFRNC1HcFU4eVFaczZ5dWh1YXNGR3ZZWVk9",
"url_encoded": "Z0FBQUFBQm5Lak9IMS1MTEkyZEs2dmZPN3dkcVVwdC1yYWREdFQtRUhtd2FiLVdTSHpHT3JVS0JxNnVpTFZaaUVKaVhzNW5FYV9Fb0N5SjlyRkczXzQ4UnJVdHhoX2tUMTRMUndPSUU0VUxsMFIwRzdUS094d25ER3NCd2NpQUVzcDBNaWYyb1FmSHJoSjFMWUJpazhwQWR5N2pKRmZYZm1qQmF0M1dtUjVNQlZkSE9IaUdrMFRMWGxzT25kRFMzZmoxeWhDOElndUhJT3JWZ2VFNEdYMmoxMkdNODhKZGRjQT09"
}
Entry Information
- Entry ID: 8865
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000