指派演算法

演算法準備就緒後，請指派給資源。

確認演算法是否已準備就緒

演算法模型必須先以最低資料量進行訓練，才能開始運作。

演算法會為每個可使用模型的廣告主訓練模型。模型會根據現有的曝光資料進行訓練。廣告主達到資料規定後，模型可能需要 1 至 3 天才能完成訓練。

從演算法擷取每個模型的完備性。ReadinessState 會決定後續步驟：

ReadinessState
READINESS_STATE_NO_VALID_SCRIPT 沒有有效的指令碼。上傳新的指令碼或規則檔案。
READINESS_STATE_EVALUATION_FAILURE 在指定時間內，沒有可評估的腳本。上傳新的指令碼或規則檔案。
READINESS_STATE_INSUFFICIENT_DATA 廣告主提供的資料量不足，無法訓練模型。繼續在廣告主底下放送廣告活動，以達到最低資料要求。
READINESS_STATE_TRAINING 模型正在根據現有資料進行訓練，尚未準備好提供服務。請等待 12 到 24 小時，再檢查模型是否已準備好提供服務。
READINESS_STATE_ACTIVE 模型已完成訓練，可指派給廣告主底下的廣告活動。

將演算法指派給委刊項

系統會使用演算法評估及調整出價成效。這項功能可搭配出價策略使用，盡量花完預算或達成目標。在這些情況下，策略成效目標類型會是 BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO。

如要更新委刊項，改用出價策略搭配演算法，盡量花完預算，請按照下列步驟操作：

Java

// Provide the ID of the advertiser that owns the parent algorithm.
long advertiserId = advertiser-id;

// Provide the ID of the parent algorithm.
long algorithmId = algorithm-id;

// Provide the ID of the line item to assign the algorithm to.
long lineItemId = line-item-id;

// Create the line item structure.
LineItem lineItem =
    new LineItem()
        .setBidStrategy(
            new BiddingStrategy()
                .setMaximizeSpendAutoBid(
                    new MaximizeSpendBidStrategy()
                        .setPerformanceGoalType(
                            "BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO")
                        .setCustomBiddingAlgorithmId(algorithmId)));

// Configure the patch request and set update mask to only update the bid
// strategy.
LineItems.Patch request =
    service
        .advertisers()
        .lineItems()
        .patch(advertiserId, lineItemId, lineItem)
        .setUpdateMask("bidStrategy");

// Update the line item.
LineItem response = request.execute();

// Display the new algorithm ID used by the line item.
System.out.printf(
    "Line item %s now uses algorithm ID %s in its bidding strategy.",
    response.getName(),
    response.getBidStrategy().getMaximizeSpendAutoBid().getCustomBiddingAlgorithmId());

Python

# Provide the parent advertiser ID of the line item and creative.
advertiser_id = advertiser-id

# Provide the ID of the creative to assign.
algorithm_id = algorithm-id

# Provide the ID of the line item to assign the creative to.
line_item_id = line-item-id

# Build bidding strategy object.
bidding_strategy_obj = {
    "maximizeSpendAutoBid": {
        "performanceGoalType": (
            "BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO"
        ),
        "customBiddingAlgorithmId": algorithm_id,
    }
}

# Build line item object.
line_item_obj = {"bidStrategy": bidding_strategy_obj}

# Build and execute request.
line_item_resp = (
    service.advertisers()
    .lineItems()
    .patch(
        advertiserId=advertiser_id,
        lineItemId=line_item_id,
        updateMask="bidStrategy",
        body=line_item_obj,
    )
    .execute()
)

# Print the algorithm ID now assigned to the line item.
print(
    f'Line Item {line_item_resp["name"]} now uses algorithm ID'
    f' {line_item_resp["bidStrategy"]["maximizeSpendAutoBid"]["customBiddingAlgorithmId"]}'
    " in its bidding strategy."
)

PHP

// Provide the ID of the advertiser that owns the parent algorithm.
$advertiserId = advertiser-id;

// Provide the ID of the parent algorithm.
$algorithmId = algorithm-id;

// Provide the ID of the line item to assign the algorithm to.
$lineItemId = line-item-id;

// Create the bidding strategy structure.
$maxSpendBidStrategy = new Google_ServiceDisplayVideo_MaximizeSpendBidStrategy();
$maxSpendBidStrategy->setPerformanceGoalType('BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO');
$maxSpendBidStrategy->setCustomBiddingAlgorithmId($algorithmId);
$biddingStrategy = new Google_ServiceDisplayVideo_BiddingStrategy();
$biddingStrategy->setMaximizeSpendAutoBid($maxSpendBidStrategy);

// Create the line item structure.
$lineItem = new Google_Service_DisplayVideo_LineItem();
$lineItem->setBidStrategy($biddingStrategy);
$optParams = array('updateMask' => 'bidStrategy');

// Call the API, updating the bid strategy for the identified line
// item.
try {
    $result = $this->service->advertisers_lineItems->patch(
        $advertiserId,
        $lineItemId,
        $lineItem,
        $optParams
    );
} catch (\Exception $e) {
    $this->renderError($e);
    return;
}

printf(
    '<p>Line Item %s now uses algorithm ID %s in its bid strategy.</p>',
    $result['name'],
    $result['bidStrategy']['maximizeSpendAutoBid']['customBiddingAlgorithmId']
);
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