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[doc] make the tensor width differnt from height (#533)

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This commit is contained in:
Tan Li
2023-10-03 00:55:16 -07:00
committed by GitHub
parent 1d1f8964d2
commit e4c3a9346c
1 changed files with 10 additions and 10 deletions
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20
docs/src/guides/tables.md
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@@ -42,7 +42,7 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
import pandas as pd
data = pd.DataFrame({
"vector": [[1.1, 1.2], [0.2, 1.8]],
"vector": [[1.1, 1.2, 1.3, 1.4], [0.2, 1.8, 0.4, 3.6]],
"lat": [45.5, 40.1],
"long": [-122.7, -74.1]
})
@@ -56,7 +56,7 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
```python
custom_schema = pa.schema([
pa.field("vector", pa.list_(pa.float32(), 2)),
pa.field("vector", pa.list_(pa.float32(), 4)),
pa.field("lat", pa.float32()),
pa.field("long", pa.float32())
])
@@ -70,8 +70,8 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
```python
table = pa.Table.from_arrays(
[
pa.array([[3.1, 4.1], [5.9, 26.5]],
pa.list_(pa.float32(), 2)),
pa.array([[3.1, 4.1, 5.1, 6.1], [5.9, 26.5, 4.7, 32.8]],
pa.list_(pa.float32(), 4)),
pa.array(["foo", "bar"]),
pa.array([10.0, 20.0]),
],
@@ -88,12 +88,12 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
LanceDB supports creating tables by specifying a pyarrow schema or a specialized
pydantic model called `LanceModel`.
For example, the following Content model specifies a table with 5 columns:
For example, the following Content model specifies a table with 5 columns:
movie_id, vector, genres, title, and imdb_id. When you create a table, you can
pass the class as the value of the `schema` parameter to `create_table`.
pass the class as the value of the `schema` parameter to `create_table`.
The `vector` column is a `Vector` type, which is a specialized pydantic type that
can be configured with the vector dimensions. It is also important to note that
LanceDB only understands subclasses of `lancedb.pydantic.LanceModel`
LanceDB only understands subclasses of `lancedb.pydantic.LanceModel`
(which itself derives from `pydantic.BaseModel`).
```python
@@ -131,8 +131,8 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
for i in range(5):
yield pa.RecordBatch.from_arrays(
[
pa.array([[3.1, 4.1], [5.9, 26.5]],
pa.list_(pa.float32(), 2)),
pa.array([[3.1, 4.1, 5.1, 6.1], [5.9, 26.5, 4.7, 32.8]],
pa.list_(pa.float32(), 4)),
pa.array(["foo", "bar"]),
pa.array([10.0, 20.0]),
],
@@ -140,7 +140,7 @@ A Table is a collection of Records in a LanceDB Database. You can follow along o
)
schema = pa.schema([
pa.field("vector", pa.list_(pa.float32(), 2)),
pa.field("vector", pa.list_(pa.float32(), 4)),
pa.field("item", pa.utf8()),
pa.field("price", pa.float32()),
])