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AI Observability & Evaluation

Results 215 phoenix issues
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**Is your feature request related to a problem? Please describe.** We don't support 3.11. **Describe the solution you'd like** At least one prospective user has asked for it. **Describe alternatives...

enhancement
blocked

Use anthropic evals to mimic UMAP visualizations and confidence scores - publish findings and gallery views in #phoenix-showcase

**Describe the bug** There are two distinct bugs I am seeing by running the attached notebook. 1. When one dataset has a tag that another does not (the "is_answerable" tag),...

bug

**Describe the bug** Users can specify embedding features of the same name with differing columns. ``` database_schema = px.Schema( embedding_feature_column_names={ "text_embedding": px.EmbeddingColumnNames(vector_column_name="paragraph_vector", raw_data_column_name="paragraph") }, tag_column_names=["subject"] ) query_schema = px.Schema( embedding_feature_column_names={...

bug

**Describe the bug** UMAP points are sampled from the head of the dataframe rather than randomly. That presents an issue when the user has the rows of their dataframe grouped...

bug

As a user, I want to quickly be able to view the details of a particular dimension in the model schema - to see if it's drifting, the quality of...