Comments (3)
No module named 'sdv.demo'
the above is the error
from sdv.
Hi @mansiresh, which website is telling you to do from svd.demo import load_tabular_demo
?
Those instruction were for a very old version of SDV that is over 1 year old. For the most up-to-date instructions, please see our documentation website. The new code is:
from sdv.datasets.demo import download_demo
data, metadata = download_demo(
modality='single_table',
dataset_name='fake_hotel_guests'
)
Resources:
from sdv.
Hello, I'm going to close out this thread since we've answered the question. Please feel free to reply if you are still unable to load a demo and we can always continue to investigate.
Alternatively, if you run across any new problems, you can always file a new issue. Thanks.
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Related Issues (20)
- Multitable Child Table Size HOT 4
- [dtypes] Numerical Formatter Fails to Learn Format of New Data Types
- [dtypes] `FixedIncrements` Fails with New Numerical Data Types HOT 1
- Sequence_index in constraint, PARSynthesizer with Range constraint HOT 2
- Unable visualize just the real data (or just the synthetic data) in a multi-table setting
- Enabling sdv logging causes tests to fail locally
- Mock every usage of `is_faker_function` to speed up the unit tests
- [dtypes] Update the NumericalFormatter to use the `learn_rounding_digits` from RDT
- SDV documentation (TVAE) HOT 2
- Error occurs with FixedCombinations constraint when NA values exist in constraint column HOT 3
- Support optional dependencies for CUDA related packages HOT 4
- ECLSK Data produces Nans and/or no correlation in HMA
- Setting random state ahead of sampling to vary synthesised data HOT 3
- PAR can't fit if Range constraint includes a `sequence_index` column HOT 2
- Metadata Detection Fails with new Data Type
- Using FixedCombinations constraint with an integer constraint column causes sampling to fail
- Error when using a datetime column as a context column with PAR Synthesizer HOT 2
- Discrete columns cause memory overflow issues during CTGAN processing. HOT 6
- Is loss_factor not used? How to compute reconstruction loss? HOT 1
- Supported data types benchmark
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