all_backend_sparse_on_disk_functions.c File Reference

Functions
	PG_FUNCTION_INFO_V1 (auxF)
Datum	auxF (PG_FUNCTION_ARGS)
	Parses input string and outputs word with tf score.
	PG_FUNCTION_INFO_V1 (dotprdct_sparse_cached_waste)
	PG_FUNCTION_INFO_V1 (dotprdct_sparse_cached_without_waste)
	PG_FUNCTION_INFO_V1 (cache_model_waste)
Datum	initialize_waste_count (PG_FUNCTION_ARGS)
	Initializes waste count.
Datum	get_waste_ratio (PG_FUNCTION_ARGS)
	Calculates waste ratio.
Datum	cache_model_waste (PG_FUNCTION_ARGS)
	Caches the given model.
Datum	dotprdct_sparse_cached_waste (PG_FUNCTION_ARGS)
	Calculates the dot product with the cached model and given feature vector and updates waste count.
Datum	dotprdct_sparse_cached_without_waste (PG_FUNCTION_ARGS)
	Calculates the dot product with the cached model and given feature vector and do not update waste count.
	PG_FUNCTION_INFO_V1 (dotprdct_dense_cached_waste)
	PG_FUNCTION_INFO_V1 (dotprdct_dense_cached_without_waste)
Datum	dotprdct_dense_cached_waste (PG_FUNCTION_ARGS)
	Calculates the dot product with the cached model and given dense feature vector and updates waste count.
Datum	dotprdct_dense_cached_without_waste (PG_FUNCTION_ARGS)
	Calculates the dot product with the cached model and given dense feature vector and do not update waste count.
Variables
	PG_MODULE_MAGIC
const char *	szDelim = "|"

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Function Documentation

Datum auxF

(

PG_FUNCTION_ARGS

)

Parses input string and outputs word with tf score.

Parameters:

[in]	parsedPubText	to_ts_vector output of the input string
[in]	distinctWordCount	# of distinct words in the input string
[in]	pubLength	string length

Datum cache_model_waste

(

PG_FUNCTION_ARGS

)

Caches the given model.

Parameters:

[in]	w	model vector
[in]	bias

Datum dotprdct_dense_cached_waste

(

PG_FUNCTION_ARGS

)

Calculates the dot product with the cached model and given dense feature vector and updates waste count.

Parameters:

[in]

input

feature vector of the entity

Datum dotprdct_dense_cached_without_waste

(

PG_FUNCTION_ARGS

)

Calculates the dot product with the cached model and given dense feature vector and do not update waste count.

Parameters:

[in]

input

feature vector of the entity

Datum dotprdct_sparse_cached_waste

(

PG_FUNCTION_ARGS

)

Calculates the dot product with the cached model and given feature vector and updates waste count.

Parameters:

[in]

input

feature vector of the entity

Datum dotprdct_sparse_cached_without_waste

(

PG_FUNCTION_ARGS

)

Calculates the dot product with the cached model and given feature vector and do not update waste count.

Parameters:

[in]

input

feature vector of the entity

Datum get_waste_ratio

(

PG_FUNCTION_ARGS

)

Calculates waste ratio.

Returns:

waste ratio

Datum initialize_waste_count

(

PG_FUNCTION_ARGS

)

Initializes waste count.

PG_FUNCTION_INFO_V1

(

dotprdct_dense_cached_without_waste

)

PG_FUNCTION_INFO_V1

(

dotprdct_dense_cached_waste

)

PG_FUNCTION_INFO_V1

(

cache_model_waste

)

PG_FUNCTION_INFO_V1

(

dotprdct_sparse_cached_without_waste

)

PG_FUNCTION_INFO_V1

(

dotprdct_sparse_cached_waste

)

PG_FUNCTION_INFO_V1

(

auxF

)

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Variable Documentation

PG_MODULE_MAGIC

const char* szDelim = "|"

---