After executing the model run, we recommend saving the model object for future use. This helps you avoid repetitive model runs, and saves time and computational resources. After the model object is saved, the object can be loaded at a later stage to continue the analysis or visualizations without having to re-run the model.
Use Python pickle
Warning: This method is deprecated and will be removed in a future release. Please use the Meridian serde
package as described below.
Save the model object
Run the following command to save the model object:
file_path
=
f
'
{
PATH
}
/
{
FILENAME
}
.pkl'
model
.
save_mmm
(
mmm
,
file_path
)
Where:
-
PATHis the path to the file location. -
FILENAMEis the name of the file. It must have a PKL extension.
Load the model object
Run the following command to load the saved model:
file_path
=
f
'
{
PATH
}
/
{
FILENAME
}
.pkl'
mmm
=
model
.
load_mmm
(
file_path
)
Where:
-
PATHis the path to the file location. -
FILENAMEis the name of the file. It must have a PKL extension.
Use Meridian serde
package
The Meridian serde
package provides support for serializing and deserializing
Meridian model objects into Protocol Buffers (protobuf) files. The format -
binary or text - is determined by the file extension specified in the filename.
Formats include:
- Binary Protobuf (
.binpb) - Saved in compact protobuf wire format. Ideal for binary transmission and storage. - Text Protobuf (
.txtpbor.textproto) - Saved in human-readable text representation. Ideal for debugging.
Save the model object
Run the following command to save the model object:
from
meridian.schema.serde
import
meridian_serde
mmm
=
model
.
Meridian
(
input_data
=
input_data
,
model_spec
=
model_spec
)
meridian_serde
.
save_meridian
(
mmm
,
"model.binpb"
)
# or "model.txtpb"
Load the model object
Run the following command to load the model object:
from
meridian.schema.serde
import
meridian_serde
mmm
=
meridian_serde
.
load_meridian
(
"model.binpb"
)
# or "model.txtpb"


